OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 5.8971, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8215, kappa: 0.4315, kb_relative_information_score: 131.1176, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8178, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -19.1344, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 3.5919, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.8223, kappa: 0.4315, kb_relative_information_score: 152.4402, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8188, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.8211, kappa: 0.4551, kb_relative_information_score: 91.7339, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.8209, kappa: 0.4476, kb_relative_information_score: 135.1677, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.82, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.5547, kappa: 0.0131, kb_relative_information_score: -393.9766, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6806, predictive_accuracy: 0.5077, prior_entropy: 0.734, recall: 0.5077, relative_absolute_error: 1.5075, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7017, root_relative_squared_error: 1.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -34.6885, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8086, kappa: 0.3772, kb_relative_information_score: 93.2919, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8057, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 109.6896, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.433, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -51.9682, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0334, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -0.2817, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7156, kappa: 0.0345, kb_relative_information_score: 80.3196, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7171, predictive_accuracy: 0.7912, prior_entropy: 0.734, recall: 0.7912, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 17.3412, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 36.3281, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, kb_relative_information_score: 38.4347, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 5.2386, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -270.146, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.2094, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4203, root_relative_squared_error: 1.0412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -34.633, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -15.5686, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 3.6528, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 79.279, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8315, kappa: 0.4893, kb_relative_information_score: 113.7308, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8338, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -146.4244, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1021, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 4.719, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.9194, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8231, kappa: 0.4555, kb_relative_information_score: 142.519, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7834, kappa: 0.2748, kb_relative_information_score: 78.3646, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7909, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -269.3184, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.2087, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8241, kappa: 0.4557, kb_relative_information_score: 125.7855, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8227, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -116.1989, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -8.101, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, kb_relative_information_score: 45.7643, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -103.4429, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 2.2369, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, kb_relative_information_score: 29.4963, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 2.844, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.2315, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -117.0148, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -69.6856, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -110.4248, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.406, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 16.9964, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 16.3747, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.3658, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -432.5071, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.3885, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.458, root_relative_squared_error: 1.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.323, kappa: -0.0015, kb_relative_information_score: -735.5493, mean_absolute_error: 0.6762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6719, predictive_accuracy: 0.3238, prior_entropy: 0.734, recall: 0.3238, relative_absolute_error: 2.0706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8223, root_relative_squared_error: 2.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7677, kappa: 0.348, kb_relative_information_score: 50.0034, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7943, predictive_accuracy: 0.7529, prior_entropy: 0.734, recall: 0.7529, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.1393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7392, kappa: 0.1147, kb_relative_information_score: 92.8114, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.796, predictive_accuracy: 0.8065, prior_entropy: 0.734, recall: 0.8065, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 38.2692, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -3.53, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 62.2008, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4125, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -16.8899, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8489, kappa: 0.5173, kb_relative_information_score: 168.0507, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8472, predictive_accuracy: 0.8563, prior_entropy: 0.734, recall: 0.8563, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -32.086, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -24.5757, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -13.6967, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7392, kappa: 0.1176, kb_relative_information_score: 77.9324, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7389, predictive_accuracy: 0.7912, prior_entropy: 0.734, recall: 0.7912, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.359, root_relative_squared_error: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 3.2535, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 3.5649, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.8205, kappa: 0.4398, kb_relative_information_score: 137.4489, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.818, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 10.2041, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -146.4184, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1019, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, kb_relative_information_score: 20.6771, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.6286, kappa: 0.0402, kb_relative_information_score: -233.8644, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6895, predictive_accuracy: 0.5939, prior_entropy: 0.734, recall: 0.5939, relative_absolute_error: 1.2435, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6373, root_relative_squared_error: 1.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 24.9839, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -157.3053, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1128, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4097, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, kb_relative_information_score: 41.7266, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 26.6161, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 29.8091, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -51.5621, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.411, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -51.4593, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -111.034, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4064, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -9.7052, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 54.9559, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8179, kappa: 0.409, kb_relative_information_score: 151.235, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8156, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -8.4066, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 6.7154, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 8.7155, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, kb_relative_information_score: 3.3077, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, kb_relative_information_score: 46.0707, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -75.881, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0499, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -11.6167, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8273, kappa: 0.4639, kb_relative_information_score: 124.2866, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8255, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -90.8559, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4052, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7504, kappa: 0.154, kb_relative_information_score: 51.6757, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7716, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -66.5494, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -63.4583, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8336, kappa: 0.4904, kb_relative_information_score: 99.93, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8339, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.346, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.323, kappa: -0.0015, kb_relative_information_score: -735.5493, mean_absolute_error: 0.6762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6719, predictive_accuracy: 0.3238, prior_entropy: 0.734, recall: 0.3238, relative_absolute_error: 2.0706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8223, root_relative_squared_error: 2.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -23.4284, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.8271, kappa: 0.4526, kb_relative_information_score: 154.0284, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8237, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 45.0636, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -52.8336, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0341, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 20.1426, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.8006, kappa: 0.3629, kb_relative_information_score: 93.5116, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7955, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -39.9118, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0256, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,

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

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