OpenML
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 12489 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -28.0257, mean_absolute_error: 0.5047, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0344, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.936, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7637, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7393, kappa: 0.4636, kb_relative_information_score: 196.738, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7391, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.968, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -31.6094, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.1059, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0238, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 1.7546, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 42.2491, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -24.1211, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.5866, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.3918, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.6827, kappa: 0.3458, kb_relative_information_score: 111.01, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6836, predictive_accuracy: 0.687, prior_entropy: 0.9826, recall: 0.687, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7416, kappa: 0.4671, kb_relative_information_score: 160.8519, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.746, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5851, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.569, kappa: 0.1477, kb_relative_information_score: 68.5026, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6205, predictive_accuracy: 0.6185, prior_entropy: 0.9826, recall: 0.6185, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.0655, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7402, kappa: 0.4658, kb_relative_information_score: 147.5538, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7577, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.6672, kappa: 0.3213, kb_relative_information_score: 65.4859, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6943, predictive_accuracy: 0.687, prior_entropy: 0.9826, recall: 0.687, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.007, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.1536, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 1.8614, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, kb_relative_information_score: 10.8451, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.3925, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -29.0245, mean_absolute_error: 0.5054, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0357, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.482, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -5.1739, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -74.0602, mean_absolute_error: 0.542, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1109, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -9.1008, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6387, kappa: 0.2648, kb_relative_information_score: 35.4577, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.642, predictive_accuracy: 0.637, prior_entropy: 0.9826, recall: 0.637, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 8.1628, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -2.1325, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -2.586, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.725, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.9409, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7321, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.9862, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6722, kappa: 0.3291, kb_relative_information_score: 102.3254, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.693, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.5729, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.2518, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -16.9493, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0198, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.2709, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.5519, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7031, kappa: 0.389, kb_relative_information_score: 93.7661, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7143, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -52.53, mean_absolute_error: 0.5231, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.072, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7022, kappa: 0.3858, kb_relative_information_score: 122.7041, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.705, predictive_accuracy: 0.7074, prior_entropy: 0.9826, recall: 0.7074, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8201, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.9179, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.126, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.3639, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.9701, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3738, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.7053, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.756, kappa: 0.4971, kb_relative_information_score: 190.228, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7584, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.0891, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8977, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.737, kappa: 0.461, kb_relative_information_score: 216.0048, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.737, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.694, kappa: 0.3709, kb_relative_information_score: 94.0876, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7076, predictive_accuracy: 0.7056, prior_entropy: 0.9826, recall: 0.7056, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.33, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -2.0395, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.733, kappa: 0.4521, kb_relative_information_score: 193.5552, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7328, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.1224, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.5361, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5594, kappa: 0.104, kb_relative_information_score: 44.2779, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5631, predictive_accuracy: 0.5574, prior_entropy: 0.9826, recall: 0.5574, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6632, root_relative_squared_error: 1.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.5158, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -6.561, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -3.576, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.787, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.5704, kappa: 0.1313, kb_relative_information_score: 19.1519, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5921, predictive_accuracy: 0.6037, prior_entropy: 0.9826, recall: 0.6037, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 4.2208, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3487, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.6995, kappa: 0.3824, kb_relative_information_score: 92.9991, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7142, predictive_accuracy: 0.7111, prior_entropy: 0.9826, recall: 0.7111, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.6937, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.416, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -10.6501, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8125, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.0177, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.6377, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0195, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.6492, kappa: 0.2797, kb_relative_information_score: 139.0181, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9826, recall: 0.65, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6843, kappa: 0.355, kb_relative_information_score: 134.9933, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7105, predictive_accuracy: 0.7019, prior_entropy: 0.9826, recall: 0.7019, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.678, kappa: 0.3373, kb_relative_information_score: 154.2086, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6879, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 4.4791, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 3.0464, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.1352, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -2.9517, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.8474, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.721, kappa: 0.4247, kb_relative_information_score: 164.3509, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7244, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7008, kappa: 0.383, kb_relative_information_score: 137.012, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7029, predictive_accuracy: 0.7056, prior_entropy: 0.9826, recall: 0.7056, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 3.1419, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, kb_relative_information_score: -7.9536, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, kb_relative_information_score: 5.4899, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6592, kappa: 0.2978, kb_relative_information_score: 80.1087, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6645, predictive_accuracy: 0.6685, prior_entropy: 0.9826, recall: 0.6685, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -46.1222, mean_absolute_error: 0.5178, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0728,

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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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

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