OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7094, kappa: 0.4166, kb_relative_information_score: 25491.8796, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7093, predictive_accuracy: 0.7095, prior_entropy: 0.9976, recall: 0.7095, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.5702, kappa: 0.1869, kb_relative_information_score: 2715.0136, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6337, predictive_accuracy: 0.607, prior_entropy: 0.9976, recall: 0.607, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.9418, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, kb_relative_information_score: 57.2446, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.2667, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.1563, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.4992, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, kb_relative_information_score: 123.9874, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -27.4074, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.3956, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 156.629, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.964, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.1056, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6741, kappa: 0.3458, kb_relative_information_score: 13646.6653, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.674, predictive_accuracy: 0.6743, prior_entropy: 0.9976, recall: 0.6743, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6132, kappa: 0.2295, kb_relative_information_score: 6087.1537, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6228, predictive_accuracy: 0.6211, prior_entropy: 0.9976, recall: 0.6211, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6008, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.6513, kappa: 0.3028, kb_relative_information_score: 9622.5717, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6582, predictive_accuracy: 0.6563, prior_entropy: 0.9976, recall: 0.6563, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2112, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.4523, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.635, kappa: 0.2684, kb_relative_information_score: 7901.1604, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6382, predictive_accuracy: 0.6383, prior_entropy: 0.9976, recall: 0.6383, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, kb_relative_information_score: 233.5183, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.2427, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 76.2339, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, kb_relative_information_score: 96.3477, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, kb_relative_information_score: 881.5261, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 69.1038, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 255.9395, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, kb_relative_information_score: 70.2078, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.8459, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -110.6562, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.6961, kappa: 0.3903, kb_relative_information_score: 19429.8491, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6962, predictive_accuracy: 0.6961, prior_entropy: 0.9976, recall: 0.6961, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, kb_relative_information_score: 108.8645, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.1392, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.5372, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, kb_relative_information_score: 405.4415, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8166, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.1682, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.1896, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.2301, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.614, kappa: 0.2312, kb_relative_information_score: 6146.306, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6239, predictive_accuracy: 0.622, prior_entropy: 0.9976, recall: 0.622, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 23.3607, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.5913, kappa: 0.197, kb_relative_information_score: 2357.9981, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6078, prior_entropy: 0.9976, recall: 0.6078, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, kb_relative_information_score: -8.1155, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -56.3996, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 55.339, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.115, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8415, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -35.9023, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.8301, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, kb_relative_information_score: 12.4431, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -57.5136, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.501, kappa: 0.112, kb_relative_information_score: 1167.2153, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6253, predictive_accuracy: 0.5754, prior_entropy: 0.9976, recall: 0.5754, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.4144, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, kb_relative_information_score: 0.649, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, kb_relative_information_score: 26.3433, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.6992, kappa: 0.3963, kb_relative_information_score: 17428.8126, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6991, predictive_accuracy: 0.6992, prior_entropy: 0.9976, recall: 0.6992, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.4283, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.133, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.6896, kappa: 0.3772, kb_relative_information_score: 15988.8028, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6896, predictive_accuracy: 0.6896, prior_entropy: 0.9976, recall: 0.6896, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.0675, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6953, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, kb_relative_information_score: 311.8676, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.1158, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -53.0867, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.2535, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.7906, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5549, kappa: 0.1423, kb_relative_information_score: 633.9457, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5918, predictive_accuracy: 0.5835, prior_entropy: 0.9976, recall: 0.5835, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6378, kappa: 0.2741, kb_relative_information_score: 6003.1512, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6414, predictive_accuracy: 0.6413, prior_entropy: 0.9976, recall: 0.6413, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.0821, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.6461, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.6364, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.2277, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, kb_relative_information_score: 107.6205, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.7609, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6432, kappa: 0.2834, kb_relative_information_score: 8716.646, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6436, predictive_accuracy: 0.6443, prior_entropy: 0.9976, recall: 0.6443, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, kb_relative_information_score: 50.0805, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.7237, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kb_relative_information_score: 69.209, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 53.0937, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6065, kappa: 0.2202, kb_relative_information_score: 4900.7576, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6213, predictive_accuracy: 0.6177, prior_entropy: 0.9976, recall: 0.6177, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.2499, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3144, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.1038, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 136.7123, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6492, kappa: 0.2956, kb_relative_information_score: 9231.6796, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6493, predictive_accuracy: 0.65, prior_entropy: 0.9976, recall: 0.65, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.863, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, kb_relative_information_score: 53.6473, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7229, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 295.0356, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.0502, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.1595, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.072, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0102, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6352, kappa: 0.2683, kb_relative_information_score: 25850.7708, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6354, predictive_accuracy: 0.635, prior_entropy: 0.9976, recall: 0.635, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.562, root_relative_squared_error: 1.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6351, kappa: 0.2678, kb_relative_information_score: 26004.4247, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6351, predictive_accuracy: 0.635, prior_entropy: 0.9976, recall: 0.635, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6421, kappa: 0.2822, kb_relative_information_score: 25869.6923, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6423, predictive_accuracy: 0.6419, prior_entropy: 0.9976, recall: 0.6419, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6553, kappa: 0.3085, kb_relative_information_score: 25817.8699, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6554, predictive_accuracy: 0.6553, prior_entropy: 0.9976, recall: 0.6553, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6569, kappa: 0.3116, kb_relative_information_score: 26098.1019, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6569, predictive_accuracy: 0.6568, prior_entropy: 0.9976, recall: 0.6568, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.659, kappa: 0.3158, kb_relative_information_score: 25811.8158, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.659, predictive_accuracy: 0.6589, prior_entropy: 0.9976, recall: 0.6589, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6614, kappa: 0.3207, kb_relative_information_score: 25850.6852, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6614, predictive_accuracy: 0.6613, prior_entropy: 0.9976, recall: 0.6613, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9668,

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