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: 0.5, kb_relative_information_score: 10.62, 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: -18.7164, 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: 0.7042, f_measure: 0.63, kappa: 0.2604, kb_relative_information_score: 4513.5375, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6364, predictive_accuracy: 0.6354, prior_entropy: 0.9976, recall: 0.6354, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.1274, 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: 84.3707, 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: 0.5, kb_relative_information_score: 3.9225, 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: 8.0289, 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: -53.5885, 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: 1.4412, 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: 3.4067, 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: 0.6989, kb_relative_information_score: -121.4452, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0008, 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: 0.5, kb_relative_information_score: 1.6034, 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: -4.5046, 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: 0.6899, kb_relative_information_score: 37.8925, 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: 0.499, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -608.2498, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.4714, prior_entropy: 0.9976, recall: 0.4714, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.686, kappa: 0.3699, kb_relative_information_score: 18107.9263, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.686, predictive_accuracy: 0.686, prior_entropy: 0.9976, recall: 0.686, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, kb_relative_information_score: 4.3343, 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: -12.139, 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: 0.7565, f_measure: 0.6468, kappa: 0.3101, kb_relative_information_score: 4847.7885, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6841, predictive_accuracy: 0.6637, prior_entropy: 0.9976, recall: 0.6637, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.5168, kappa: 0.1432, kb_relative_information_score: 3158.8365, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6649, predictive_accuracy: 0.5906, prior_entropy: 0.9976, recall: 0.5906, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7164, kappa: 0.431, kb_relative_information_score: 25975.9203, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7164, predictive_accuracy: 0.7164, prior_entropy: 0.9976, recall: 0.7164, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.504, 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: 0.7613, f_measure: 0.6907, kappa: 0.3791, kb_relative_information_score: 16743.8413, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6907, predictive_accuracy: 0.691, prior_entropy: 0.9976, recall: 0.691, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, kb_relative_information_score: 475.9464, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.1734, 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: -55.8926, 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: 5.7044, 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: 0.7823, f_measure: 0.7069, kappa: 0.4119, kb_relative_information_score: 25262.9542, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7069, predictive_accuracy: 0.7069, prior_entropy: 0.9976, recall: 0.7069, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -35.0951, 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: 0.6927, kb_relative_information_score: 55.4413, 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: 0.4986, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, kb_relative_information_score: 81.6791, 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: 0.4989, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 86.1234, 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: 0.9994, 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: 0.5, kb_relative_information_score: 37.1785, 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: -8.9866, 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: -43.6691, 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: 1.0003, 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: 0.6391, f_measure: 0.5819, kappa: 0.1731, kb_relative_information_score: 4685.1675, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5967, predictive_accuracy: 0.5949, prior_entropy: 0.9976, recall: 0.5949, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.5041, 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: 0.622, f_measure: 0.5697, kappa: 0.152, kb_relative_information_score: 2938.6509, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5867, predictive_accuracy: 0.5852, prior_entropy: 0.9976, recall: 0.5852, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, kb_relative_information_score: 653.2705, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 303.7459, 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: 0.4996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.2359, 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: 5.2229, 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: 0.7724, kb_relative_information_score: 115.6138, 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: 0.4989, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, kb_relative_information_score: 193.2093, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6823, kappa: 0.3626, kb_relative_information_score: 18461.3655, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6823, predictive_accuracy: 0.6823, prior_entropy: 0.9976, recall: 0.6823, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.8417, 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: 0.6663, f_measure: 0.367, kappa: 0.0013, kb_relative_information_score: 1318.2118, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6794, predictive_accuracy: 0.5291, prior_entropy: 0.9976, recall: 0.5291, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.6974, kappa: 0.3931, kb_relative_information_score: 20195.5234, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6976, predictive_accuracy: 0.6972, prior_entropy: 0.9976, recall: 0.6972, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.9361, 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: 14.2022, 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: 10.8536, 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: -29.8724, 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: -24.1902, 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: 1.0002, 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: -16.4461, 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: -7.2243, 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: 0.6151, kb_relative_information_score: -20.9149, 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: 10.7879, 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: 76.6358, 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: 0.5, kb_relative_information_score: 1.7482, 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: 37.7076, 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: 0.6689, kb_relative_information_score: 124.9542, 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: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7238, kappa: 0.4455, kb_relative_information_score: 26188.0128, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7237, predictive_accuracy: 0.7239, prior_entropy: 0.9976, recall: 0.7239, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -29.6987, 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: 49.1887, 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: -11.1651, 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: 0.5712, f_measure: 0.546, kappa: 0.1009, kb_relative_information_score: 1001.3202, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5567, predictive_accuracy: 0.5593, prior_entropy: 0.9976, recall: 0.5593, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, kb_relative_information_score: 37.6681, 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: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.5872, 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: 0.6123, kb_relative_information_score: 164.847, 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: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8488, 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: -33.8631, 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: 0.7484, f_measure: 0.679, kappa: 0.3554, kb_relative_information_score: 15254.139, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6792, predictive_accuracy: 0.6797, prior_entropy: 0.9976, recall: 0.6797, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.2413, 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: 42.2534, 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: -5.3971, 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: -6.7277, 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: 0.7281, kb_relative_information_score: 138.0705, 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: 0.4987, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, kb_relative_information_score: 227.4247, 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: 0.4993, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -31.8292, 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: -33.8884, 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: 0.7686, f_measure: 0.6963, kappa: 0.3906, kb_relative_information_score: 20762.8497, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6963, predictive_accuracy: 0.6964, prior_entropy: 0.9976, recall: 0.6964, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -136.9127, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0009, 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: 0.5, kb_relative_information_score: 0.6788, 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: 0.5886, kb_relative_information_score: 253.1251, 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: 0.9982, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, kb_relative_information_score: 432.2612, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.6937, kappa: 0.3851, kb_relative_information_score: 11857.0033, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6954, predictive_accuracy: 0.6952, prior_entropy: 0.9976, recall: 0.6952, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.5542, kappa: 0.1853, kb_relative_information_score: 2559.2902, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6669, predictive_accuracy: 0.6089, prior_entropy: 0.9976, recall: 0.6089, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.4249, kappa: 0.0495, kb_relative_information_score: 1801, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6473, predictive_accuracy: 0.5498, prior_entropy: 0.9976, recall: 0.5498, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6693, kappa: 0.3361, kb_relative_information_score: 16177.6983, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6693, predictive_accuracy: 0.6697, prior_entropy: 0.9976, recall: 0.6697, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.7441, 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: 0.6649, f_measure: 0.5925, kappa: 0.1975, kb_relative_information_score: 2372.3409, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6127, predictive_accuracy: 0.6076, prior_entropy: 0.9976, recall: 0.6076, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.6473, 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: -34.3986, 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: 0.7064, kb_relative_information_score: 102.7198, 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: 0.4988, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, kb_relative_information_score: 63.2054, 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: -24.6752, 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: 1.0002, 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: -99.6436, 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: 0.5962, kb_relative_information_score: -431.9299, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.3663, 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: 23.6402, 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,

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