Task
Supervised Classification on bank-marketing

Supervised Classification on bank-marketing

Task 14965 Supervised Classification bank-marketing 35600 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_50 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3931.6929, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.8289, kappa: 0.0047, kb_relative_information_score: -5399.8548, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8403, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 79.5312, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 892.8046, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3215, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 379.0147, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 47.8904, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -711.3714, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, kb_relative_information_score: -4144.3058, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 150.0137, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2889.6898, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -132.7222, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, kb_relative_information_score: -11345.2419, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -947.2823, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1245.2907, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 978.9563, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3215, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4430.5377, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0194, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3215, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, kb_relative_information_score: -4483.3017, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.316, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1215.9639, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8445, kappa: 0.1159, kb_relative_information_score: -4162.3865, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8438, predictive_accuracy: 0.8825, prior_entropy: 0.5207, recall: 0.8825, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2617.9869, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8699, kappa: 0.3065, kb_relative_information_score: 2571.1256, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8642, predictive_accuracy: 0.8853, prior_entropy: 0.5207, recall: 0.8853, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, kb_relative_information_score: -4787.9737, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -69.5767, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 265.0324, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 161.1691, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.0109, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 92.303, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1507.7776, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1450.7258, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, kb_relative_information_score: -5906.3745, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8388, kappa: 0.0736, kb_relative_information_score: -3833.5423, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8419, predictive_accuracy: 0.8829, prior_entropy: 0.5207, recall: 0.8829, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -591.5072, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.83, kappa: 0.0128, kb_relative_information_score: -6557.2073, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8347, predictive_accuracy: 0.8829, prior_entropy: 0.5207, recall: 0.8829, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -343.6623, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 407.8676, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 386.0615, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8842, kappa: 0.3858, kb_relative_information_score: 6892.5127, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8813, predictive_accuracy: 0.8971, prior_entropy: 0.5207, recall: 0.8971, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -390.4645, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.861, kappa: 0.2318, kb_relative_information_score: 1311.4869, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8585, predictive_accuracy: 0.8862, prior_entropy: 0.5207, recall: 0.8862, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4073.3836, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0188, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1961.9302, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8552, kappa: 0.1992, kb_relative_information_score: -1082.5859, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8496, predictive_accuracy: 0.8815, prior_entropy: 0.5207, recall: 0.8815, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -347.9193, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8326, kappa: 0.0298, kb_relative_information_score: -4999.1636, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8431, predictive_accuracy: 0.8833, prior_entropy: 0.5207, recall: 0.8833, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2668.3314, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3224, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8689, kappa: 0.2955, kb_relative_information_score: 3188.8692, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8638, predictive_accuracy: 0.8863, prior_entropy: 0.5207, recall: 0.8863, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -882.2052, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7998, kappa: -0, kb_relative_information_score: -18016.9592, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7934, predictive_accuracy: 0.8064, prior_entropy: 0.5207, recall: 0.8064, relative_absolute_error: 1.2382, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.3271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -590.4784, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8712, kappa: 0.2898, kb_relative_information_score: 6232.939, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8731, predictive_accuracy: 0.8938, prior_entropy: 0.5207, recall: 0.8938, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2144.9553, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 191.4398, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2325.5667, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3221, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8883, kappa: 0.4148, kb_relative_information_score: 7420.1101, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8849, predictive_accuracy: 0.8987, prior_entropy: 0.5207, recall: 0.8987, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -3046.8996, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -498.3778, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8498, kappa: 0.1512, kb_relative_information_score: -1493.6115, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8504, predictive_accuracy: 0.8842, prior_entropy: 0.5207, recall: 0.8842, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 487.4519, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2002.1953, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 294.2624, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.4072, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -720.248, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.8452, kappa: 0.1219, kb_relative_information_score: -3121.5379, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.843, predictive_accuracy: 0.882, prior_entropy: 0.5207, recall: 0.882, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.8282, kappa: 0.0003, kb_relative_information_score: -11636.6299, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8382, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -668.1234, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 76.2771, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -34.6532, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -211.8081, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8942, kappa: 0.4522, kb_relative_information_score: 9062.9944, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8911, predictive_accuracy: 0.9024, prior_entropy: 0.5207, recall: 0.9024, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1858.4389, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 485.2539, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 96.6949, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 75.3427, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8622, kappa: 0.24, kb_relative_information_score: 445.8678, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8598, predictive_accuracy: 0.8867, prior_entropy: 0.5207, recall: 0.8867, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 106.365, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.774, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, kb_relative_information_score: -5958.2549, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, kb_relative_information_score: -4311.9208, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 135.2503, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -8.4248, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1082.3952, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 192.5037, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8583, kappa: 0.2464, kb_relative_information_score: -3109.7184, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.85, predictive_accuracy: 0.8747, prior_entropy: 0.5207, recall: 0.8747, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -457.2349, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -280.9802, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 180.1604, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 102.1551, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -222.9821, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -688.7402, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -13614.098, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3221, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8612, kappa: 0.2276, kb_relative_information_score: 3109.8823, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8616, predictive_accuracy: 0.8881, prior_entropy: 0.5207, recall: 0.8881, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1577.1054, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 435.5802, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 534.2371, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 361.5981, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 219.4704, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, kb_relative_information_score: -12268.3835, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, kb_relative_information_score: -4901.2242, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, kb_relative_information_score: -5138.1462, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8739, kappa: 0.3314, kb_relative_information_score: 3768.4262, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8687, predictive_accuracy: 0.8878, prior_entropy: 0.5207, recall: 0.8878, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.88,

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