Task
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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66324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7959, kappa: 0.5925, kb_relative_information_score: 0.5929, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7967, number_of_instances: 3468, precision: 0.8002, predictive_accuracy: 0.7967, prior_entropy: 0.9998, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.89, unweighted_recall: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7959, kappa: 0.5925, kb_relative_information_score: 0.5929, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7967, number_of_instances: 3468, precision: 0.8002, predictive_accuracy: 0.7967, prior_entropy: 0.9998, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.89, unweighted_recall: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7959, kappa: 0.5925, kb_relative_information_score: 0.5929, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7967, number_of_instances: 3468, precision: 0.8002, predictive_accuracy: 0.7967, prior_entropy: 0.9998, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.89, unweighted_recall: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7959, kappa: 0.5925, kb_relative_information_score: 0.5929, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7967, number_of_instances: 3468, precision: 0.8002, predictive_accuracy: 0.7967, prior_entropy: 0.9998, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.89, unweighted_recall: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8374, kappa: 0.6748, kb_relative_information_score: 0.1673, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8374, number_of_instances: 3468, precision: 0.8376, predictive_accuracy: 0.8374, prior_entropy: 0.9998, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8808, unweighted_recall: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8757, kappa: 0.7514, kb_relative_information_score: 0.6059, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8757, number_of_instances: 3468, precision: 0.8758, predictive_accuracy: 0.8757, prior_entropy: 0.9998, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6163, unweighted_recall: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4951, kappa: -0.0057, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.4999, weighted_recall: 0.4986, number_of_instances: 3468, precision: 0.4972, predictive_accuracy: 0.4986, prior_entropy: 0.9998, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.4164, unweighted_recall: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8431, kappa: 0.6861, kb_relative_information_score: 0.6177, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8431, number_of_instances: 3468, precision: 0.8432, predictive_accuracy: 0.8431, prior_entropy: 0.9998, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6735, unweighted_recall: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7917, kappa: 0.5839, kb_relative_information_score: 0.5843, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7924, number_of_instances: 3468, precision: 0.7952, predictive_accuracy: 0.7924, prior_entropy: 0.9998, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8938, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7997, kappa: 0.5997, kb_relative_information_score: 0.5988, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8002, number_of_instances: 3468, precision: 0.8018, predictive_accuracy: 0.8002, prior_entropy: 0.9998, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8831, unweighted_recall: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.791, kappa: 0.5832, kb_relative_information_score: 0.5804, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7921, number_of_instances: 3468, precision: 0.7967, predictive_accuracy: 0.7921, prior_entropy: 0.9998, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8971, unweighted_recall: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7004, root_relative_squared_error: 1.4009, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8283, kappa: 0.6565, kb_relative_information_score: 0.199, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8284, number_of_instances: 3468, precision: 0.8291, predictive_accuracy: 0.8284, prior_entropy: 0.9998, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8592, unweighted_recall: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7961, kappa: 0.5927, kb_relative_information_score: 0.5933, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7967, number_of_instances: 3468, precision: 0.7991, predictive_accuracy: 0.7967, prior_entropy: 0.9998, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9016, unweighted_recall: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.7898, kappa: 0.5809, kb_relative_information_score: 0.5805, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7909, number_of_instances: 3468, precision: 0.7956, predictive_accuracy: 0.7909, prior_entropy: 0.9998, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8971, unweighted_recall: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7672, kappa: 0.5432, kb_relative_information_score: 0.0544, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7728, number_of_instances: 3468, precision: 0.7974, predictive_accuracy: 0.7728, prior_entropy: 0.9998, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9618, unweighted_recall: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.6226, kappa: 0.3123, kb_relative_information_score: 0.0124, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4999, weighted_recall: 0.6597, number_of_instances: 3468, precision: 0.7514, predictive_accuracy: 0.6597, prior_entropy: 0.9998, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, unweighted_recall: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8531, kappa: 0.7061, kb_relative_information_score: 0.6741, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8532, number_of_instances: 3468, precision: 0.8539, predictive_accuracy: 0.8532, prior_entropy: 0.9998, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6807, unweighted_recall: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8063, kappa: 0.6126, kb_relative_information_score: 0.6129, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8065, number_of_instances: 3468, precision: 0.8072, predictive_accuracy: 0.8065, prior_entropy: 0.9998, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8799, unweighted_recall: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3, f_measure: 0.251, kappa: -0.4035, kb_relative_information_score: -0.3916, mean_absolute_error: 0.6955, mean_prior_absolute_error: 0.4999, weighted_recall: 0.3045, number_of_instances: 3468, precision: 0.2231, predictive_accuracy: 0.3045, prior_entropy: 0.9998, relative_absolute_error: 1.3914, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.834, root_relative_squared_error: 1.6682, unweighted_recall: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 0.6217, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8235, number_of_instances: 3468, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 0.9998, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7476, unweighted_recall: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 0.6217, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8235, number_of_instances: 3468, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 0.9998, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7476, unweighted_recall: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7972, kappa: 0.5949, kb_relative_information_score: 0.5956, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7979, number_of_instances: 3468, precision: 0.8007, predictive_accuracy: 0.7979, prior_entropy: 0.9998, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8993, unweighted_recall: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8311, kappa: 0.6622, kb_relative_information_score: 0.61, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8313, number_of_instances: 3468, precision: 0.8321, predictive_accuracy: 0.8313, prior_entropy: 0.9998, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7036, unweighted_recall: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 0.6217, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8235, number_of_instances: 3468, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 0.9998, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7476, unweighted_recall: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 0.6217, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8235, number_of_instances: 3468, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 0.9998, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7476, unweighted_recall: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 0.6217, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8235, number_of_instances: 3468, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 0.9998, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7476, unweighted_recall: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 0.6217, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8235, number_of_instances: 3468, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 0.9998, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7476, unweighted_recall: 0.8232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8636, number_of_instances: 3468, precision: 0.864, predictive_accuracy: 0.8636, prior_entropy: 0.9998, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8636, number_of_instances: 3468, precision: 0.864, predictive_accuracy: 0.8636, prior_entropy: 0.9998, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8636, number_of_instances: 3468, precision: 0.864, predictive_accuracy: 0.8636, prior_entropy: 0.9998, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4023, kappa: -0.0102, kb_relative_information_score: -0.0235, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.4999, weighted_recall: 0.4885, number_of_instances: 3468, precision: 0.4877, predictive_accuracy: 0.4885, prior_entropy: 0.9998, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7152, root_relative_squared_error: 1.4306, unweighted_recall: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8636, number_of_instances: 3468, precision: 0.864, predictive_accuracy: 0.8636, prior_entropy: 0.9998, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8209, kappa: 0.6419, kb_relative_information_score: 0.3109, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8209, number_of_instances: 3468, precision: 0.8212, predictive_accuracy: 0.8209, prior_entropy: 0.9998, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7858, unweighted_recall: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, kb_relative_information_score: 0.001, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9993, unweighted_recall: 0.5,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs