OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13251 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13251 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.8233, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.9688, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.5192, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.1944, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9078, kappa: 0.813, kb_relative_information_score: 352.6499, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.0254, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, kb_relative_information_score: 13.527, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.966, kappa: 0.9311, kb_relative_information_score: 292.3751, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.687, kappa: 0.3706, kb_relative_information_score: 73.2737, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6908, predictive_accuracy: 0.686, prior_entropy: 0.991, recall: 0.686, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.064, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3629, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2929, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.3352, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, kb_relative_information_score: 2.3337, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.9155, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.815, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.8659, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.527, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.1754, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4641, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.7203, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.5093, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.2486, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.1145, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.1297, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.1776, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8677, kappa: 0.7315, kb_relative_information_score: 71.9392, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8792, predictive_accuracy: 0.87, prior_entropy: 0.991, recall: 0.87, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.8749, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.6354, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.92, kappa: 0.838, kb_relative_information_score: 355.0582, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.991, recall: 0.92, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8738, kappa: 0.7442, kb_relative_information_score: 223.8746, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 5.218, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.4918, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, kb_relative_information_score: 0.5753, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 121.9145, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.5989, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8414, kappa: 0.6811, kb_relative_information_score: 113.0126, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8806, predictive_accuracy: 0.848, prior_entropy: 0.991, recall: 0.848, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -1.0278, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.1318, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -34.6524, mean_absolute_error: 0.5201, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, kb_relative_information_score: 11.8973, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, kb_relative_information_score: 8.1673, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.9017, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4243, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, kb_relative_information_score: -5.1491, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, kb_relative_information_score: 3.2895, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9073, kappa: 0.8116, kb_relative_information_score: 280.2739, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9109, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.3019, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.1006, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9238, kappa: 0.8455, kb_relative_information_score: 342.8237, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9242, predictive_accuracy: 0.924, prior_entropy: 0.991, recall: 0.924, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.1636, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, kb_relative_information_score: 0.9397, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.47, kappa: 0.0423, kb_relative_information_score: 23.3339, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.564, predictive_accuracy: 0.566, prior_entropy: 0.991, recall: 0.566, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, kb_relative_information_score: 1.8667, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.7703, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.814, kappa: 0.6234, kb_relative_information_score: 210.7711, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8141, predictive_accuracy: 0.814, prior_entropy: 0.991, recall: 0.814, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.6656, kappa: 0.322, kb_relative_information_score: 80.4452, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6653, predictive_accuracy: 0.666, prior_entropy: 0.991, recall: 0.666, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, kb_relative_information_score: 9.4136, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.5915, mean_absolute_error: 0.5088, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0306, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, kb_relative_information_score: 21.6815, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, kb_relative_information_score: 6.1434, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8038, kappa: 0.6015, kb_relative_information_score: 115.1972, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8081, predictive_accuracy: 0.806, prior_entropy: 0.991, recall: 0.806, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, kb_relative_information_score: 11.3882, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.5619, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.81, kappa: 0.6153, kb_relative_information_score: 116.0841, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8101, predictive_accuracy: 0.81, prior_entropy: 0.991, recall: 0.81, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, kb_relative_information_score: 4.3381, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.5113, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.0664, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.6059, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.2913, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.8197, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.5449, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.909, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7271, kappa: 0.4461, kb_relative_information_score: 66.3423, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.727, predictive_accuracy: 0.728, prior_entropy: 0.991, recall: 0.728, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 8.11, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.1215, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8999, kappa: 0.7971, kb_relative_information_score: 321.0452, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.7917, kappa: 0.5776, kb_relative_information_score: 178.8756, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7916, predictive_accuracy: 0.792, prior_entropy: 0.991, recall: 0.792, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, kb_relative_information_score: 13.3858, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, kb_relative_information_score: 21.6774, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 87.4419, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9519, kappa: 0.9023, kb_relative_information_score: 412.7883, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.991, recall: 0.952, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, kb_relative_information_score: 43.4358, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.3397, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.2886, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.0967, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, kb_relative_information_score: 27.1991, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kb_relative_information_score: -4.9457, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.9744, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0378, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.8318, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.4144, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9296, kappa: 0.8571, kb_relative_information_score: 379.6188, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9315, predictive_accuracy: 0.93, prior_entropy: 0.991, recall: 0.93, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.4473, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8781, kappa: 0.7535, kb_relative_information_score: 267.7655, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8784, predictive_accuracy: 0.878, prior_entropy: 0.991, recall: 0.878, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.4095, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.6731, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.0751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 5.848, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, kb_relative_information_score: -2.8685, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, kb_relative_information_score: 4.3998, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 136.1949, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.402, root_relative_squared_error: 0.809,

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