OpenML
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 383451 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.6616, kappa: 0.0059, kb_relative_information_score: 0.0048, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, precision: 0.7002, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001, unweighted_recall: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.6636, kappa: 0.0068, kb_relative_information_score: 0.0161, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.6527, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9825, unweighted_recall: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.6813, kappa: 0.0586, kb_relative_information_score: 0.0478, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9722, unweighted_recall: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 0.0288, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.363, weighted_recall: 0.7634, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7916, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.983, unweighted_recall: 0.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7065, kappa: 0.1263, kb_relative_information_score: 0.0853, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.363, weighted_recall: 0.7701, number_of_instances: 748, precision: 0.7328, predictive_accuracy: 0.7701, prior_entropy: 0.7916, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9516, unweighted_recall: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.7066, kappa: 0.1272, kb_relative_information_score: 0.0882, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7426, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9493, unweighted_recall: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.671, kappa: 0.0286, kb_relative_information_score: 0.0183, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, precision: 0.7024, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.416, root_relative_squared_error: 0.977, unweighted_recall: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6827, kappa: 0.0612, kb_relative_information_score: 0.0459, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.363, weighted_recall: 0.7674, number_of_instances: 748, precision: 0.7396, predictive_accuracy: 0.7674, prior_entropy: 0.7916, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.972, unweighted_recall: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6979, kappa: 0.1024, kb_relative_information_score: 0.0657, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.363, weighted_recall: 0.7701, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7701, prior_entropy: 0.7916, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9613, unweighted_recall: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6827, kappa: 0.0612, kb_relative_information_score: 0.0428, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.363, weighted_recall: 0.7674, number_of_instances: 748, precision: 0.7396, predictive_accuracy: 0.7674, prior_entropy: 0.7916, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9745, unweighted_recall: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.7199, kappa: 0.166, kb_relative_information_score: 0.1067, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.363, weighted_recall: 0.7741, number_of_instances: 748, precision: 0.7407, predictive_accuracy: 0.7741, prior_entropy: 0.7916, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9432, unweighted_recall: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 0.0034, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.363, weighted_recall: 0.7594, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7916, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0011, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6819, kappa: 0.0584, kb_relative_information_score: 0.0479, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.363, weighted_recall: 0.766, number_of_instances: 748, precision: 0.7291, predictive_accuracy: 0.766, prior_entropy: 0.7916, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9716, unweighted_recall: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.6747, kappa: 0.0395, kb_relative_information_score: 0.0186, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.363, weighted_recall: 0.7647, number_of_instances: 748, precision: 0.7272, predictive_accuracy: 0.7647, prior_entropy: 0.7916, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9874, unweighted_recall: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6895, kappa: 0.0796, kb_relative_information_score: 0.0599, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.964, unweighted_recall: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6761, kappa: 0.0423, kb_relative_information_score: 0.0242, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.363, weighted_recall: 0.7634, number_of_instances: 748, precision: 0.7129, predictive_accuracy: 0.7634, prior_entropy: 0.7916, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9716, unweighted_recall: 0.5144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.7092, kappa: 0.1346, kb_relative_information_score: 0.084, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.363, weighted_recall: 0.7741, number_of_instances: 748, precision: 0.7461, predictive_accuracy: 0.7741, prior_entropy: 0.7916, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9516, unweighted_recall: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 0.029, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.363, weighted_recall: 0.7634, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7916, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9829, unweighted_recall: 0.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6747, kappa: 0.0395, kb_relative_information_score: 0.0257, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.363, weighted_recall: 0.7647, number_of_instances: 748, precision: 0.7272, predictive_accuracy: 0.7647, prior_entropy: 0.7916, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9835, unweighted_recall: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.6754, kappa: 0.0396, kb_relative_information_score: 0.0429, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, precision: 0.7035, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.9741, unweighted_recall: 0.5135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7127, kappa: 0.1445, kb_relative_information_score: 0.0913, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.363, weighted_recall: 0.7701, number_of_instances: 748, precision: 0.7316, predictive_accuracy: 0.7701, prior_entropy: 0.7916, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9527, unweighted_recall: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6969, kappa: 0.1003, kb_relative_information_score: 0.079, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7459, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9532, unweighted_recall: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.6875, kappa: 0.0744, kb_relative_information_score: 0.0503, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7419, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9712, unweighted_recall: 0.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.6599, kappa: -0.0041, kb_relative_information_score: -0.0016, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.363, weighted_recall: 0.754, number_of_instances: 748, precision: 0.6279, predictive_accuracy: 0.754, prior_entropy: 0.7916, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9987, unweighted_recall: 0.4986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6565, kappa: -0.0106, kb_relative_information_score: 0.0007, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.5797, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.997, unweighted_recall: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6912, kappa: 0.0851, kb_relative_information_score: 0.0661, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.9606, unweighted_recall: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.7369, kappa: 0.2181, kb_relative_information_score: 0.1071, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.363, weighted_recall: 0.7794, number_of_instances: 748, precision: 0.7498, predictive_accuracy: 0.7794, prior_entropy: 0.7916, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9469, unweighted_recall: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.704, kappa: 0.1197, kb_relative_information_score: 0.0708, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.9601, unweighted_recall: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.097, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.947, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.6962, kappa: 0.0969, kb_relative_information_score: 0.0774, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.363, weighted_recall: 0.7674, number_of_instances: 748, precision: 0.7266, predictive_accuracy: 0.7674, prior_entropy: 0.7916, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9562, unweighted_recall: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6685, kappa: 0.0255, kb_relative_information_score: -0.0161, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.363, weighted_recall: 0.766, number_of_instances: 748, precision: 0.821, predictive_accuracy: 0.766, prior_entropy: 0.7916, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9885, unweighted_recall: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6596, kappa: -0.0021, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.6281, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.425, root_relative_squared_error: 0.998, unweighted_recall: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6571, kappa: -0.008, kb_relative_information_score: 0.0132, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.58, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9933, unweighted_recall: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.6603, kappa: 0.0005, kb_relative_information_score: -0.022, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.363, weighted_recall: 0.7594, number_of_instances: 748, precision: 0.6402, predictive_accuracy: 0.7594, prior_entropy: 0.7916, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0025, unweighted_recall: 0.5002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7301, kappa: 0.2, kb_relative_information_score: 0.1124, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7322, predictive_accuracy: 0.7687, prior_entropy: 0.7916, recall: 0.7687, relative_absolute_error: 0.848, 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: 0.6744, f_measure: 0.7349, kappa: 0.2441, kb_relative_information_score: 0.1187, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7279, predictive_accuracy: 0.746, prior_entropy: 0.7916, recall: 0.746, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4498, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, recall: 0.7781, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.7168, kappa: 0.1586, kb_relative_information_score: 0.0905, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7184, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1586, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, recall: 0.8048, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.7154, kappa: 0.1706, kb_relative_information_score: -0.0377, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.705, predictive_accuracy: 0.7393, prior_entropy: 0.7916, recall: 0.7393, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.7253, kappa: 0.1975, kb_relative_information_score: 0.0882, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1243, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, recall: 0.7727, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, recall: 0.7393, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.7154, kappa: 0.1706, kb_relative_information_score: -0.0377, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.705, predictive_accuracy: 0.7393, prior_entropy: 0.7916, recall: 0.7393, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7586, kappa: 0.2991, kb_relative_information_score: 0.1154, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.754, predictive_accuracy: 0.7767, prior_entropy: 0.7916, recall: 0.7767, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.704, kappa: 0.1579, kb_relative_information_score: 0.0589, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6957, predictive_accuracy: 0.7152, prior_entropy: 0.7916, recall: 0.7152, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.7134, kappa: 0.1659, kb_relative_information_score: 0.0716, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7027, predictive_accuracy: 0.7366, prior_entropy: 0.7916, recall: 0.7366, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.463, root_relative_squared_error: 1.0872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7461, kappa: 0.2965, kb_relative_information_score: 0.0873, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7449, predictive_accuracy: 0.7473, prior_entropy: 0.7916, recall: 0.7473, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7586, kappa: 0.2991, kb_relative_information_score: 0.1154, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.754, predictive_accuracy: 0.7767, prior_entropy: 0.7916, recall: 0.7767, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.7154, kappa: 0.1706, kb_relative_information_score: -0.0377, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.705, predictive_accuracy: 0.7393, prior_entropy: 0.7916, recall: 0.7393, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.7134, kappa: 0.1659, kb_relative_information_score: 0.0716, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7027, predictive_accuracy: 0.7366, prior_entropy: 0.7916, recall: 0.7366, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.463, root_relative_squared_error: 1.0872,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.7073, kappa: 0.1633, kb_relative_information_score: 0.075, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6982, predictive_accuracy: 0.7206, prior_entropy: 0.7916, recall: 0.7206, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6952, kappa: 0.0947, kb_relative_information_score: 0.2809, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.733, predictive_accuracy: 0.7687, prior_entropy: 0.7916, recall: 0.7687, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, kb_relative_information_score: 0.0135, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, kb_relative_information_score: 0.0135, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7358, kappa: 0.237, kb_relative_information_score: 0.0794, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7279, predictive_accuracy: 0.7527, prior_entropy: 0.7916, recall: 0.7527, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.429, root_relative_squared_error: 1.0074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7629, kappa: 0.3171, kb_relative_information_score: 0.129, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7576, predictive_accuracy: 0.7767, prior_entropy: 0.7916, recall: 0.7767, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7717, kappa: 0.3475, kb_relative_information_score: 0.1387, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7668, predictive_accuracy: 0.7821, prior_entropy: 0.7916, recall: 0.7821, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.7496, kappa: 0.2628, kb_relative_information_score: 0.1, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7498, predictive_accuracy: 0.7781, prior_entropy: 0.7916, recall: 0.7781, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.7467, kappa: 0.2523, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7781, prior_entropy: 0.7916, recall: 0.7781, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 0.3061, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7916, recall: 0.7767, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.1096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6958, kappa: 0.11, kb_relative_information_score: 0.1441, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.682, predictive_accuracy: 0.7246, prior_entropy: 0.7916, recall: 0.7246, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.7283, kappa: 0.1924, kb_relative_information_score: 0.2937, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7727, prior_entropy: 0.7916, recall: 0.7727, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.1195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 0.3061, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7916, recall: 0.7767, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.741, kappa: 0.243, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7354, predictive_accuracy: 0.7647, prior_entropy: 0.7916, recall: 0.7647, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 0.3061, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7916, recall: 0.7767, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.7283, kappa: 0.1924, kb_relative_information_score: 0.2937, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7727, prior_entropy: 0.7916, recall: 0.7727, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.1195,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.6594, kappa: -0.0087, kb_relative_information_score: 0.2189, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6245, predictive_accuracy: 0.7487, prior_entropy: 0.7916, recall: 0.7487, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6958, kappa: 0.11, kb_relative_information_score: 0.1441, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.682, predictive_accuracy: 0.7246, prior_entropy: 0.7916, recall: 0.7246, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.7019, kappa: 0.1459, kb_relative_information_score: 0.1192, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.692, predictive_accuracy: 0.7166, prior_entropy: 0.7916, recall: 0.7166, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.2502,

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