Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 72978 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9621, kappa: 0.9242, kb_relative_information_score: 518.9084, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9989, recall: 0.9621, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -1.0488, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.2194, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, kb_relative_information_score: 0.6908, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 3.3756, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 5.2102, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.0616, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 129.4186, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -2.9257, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6217, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.675, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.501, kappa: 0.0033, kb_relative_information_score: -1.5977, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5025, predictive_accuracy: 0.5054, prior_entropy: 0.9989, recall: 0.5054, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, kb_relative_information_score: -0.6546, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -1.0595, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, kb_relative_information_score: 1.5016, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.1302, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -0.7192, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.5113, kappa: 0.1605, kb_relative_information_score: 3.4568, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7256, predictive_accuracy: 0.5939, prior_entropy: 0.9989, recall: 0.5939, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 91.8773, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.4087, kappa: 0.051, kb_relative_information_score: 19.1809, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7249, predictive_accuracy: 0.5433, prior_entropy: 0.9989, recall: 0.5433, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8872, kappa: 0.7745, kb_relative_information_score: 24.6544, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8958, predictive_accuracy: 0.8881, prior_entropy: 0.9989, recall: 0.8881, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.1078, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.6698, kappa: 0.352, kb_relative_information_score: 24.7984, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.6879, predictive_accuracy: 0.6733, prior_entropy: 0.9989, recall: 0.6733, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: -0.0084, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.5476, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 292.4009, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 70.3502, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6503, kappa: 0.349, kb_relative_information_score: 25.6974, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.762, predictive_accuracy: 0.6823, prior_entropy: 0.9989, recall: 0.6823, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4901, kappa: -0.0032, kb_relative_information_score: -6.0424, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4991, predictive_accuracy: 0.4946, prior_entropy: 0.9989, recall: 0.4946, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.439, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 1.4081, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -0.3853, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 292.2554, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6095, kappa: 0.2649, kb_relative_information_score: 9.9337, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.6668, predictive_accuracy: 0.6264, prior_entropy: 0.9989, recall: 0.6264, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.2864, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 3.0238, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.1566, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 4.0667, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -0.4337, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.7396, kappa: 0.4965, kb_relative_information_score: 72.3202, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8003, predictive_accuracy: 0.7527, prior_entropy: 0.9989, recall: 0.7527, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.4985, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.5357, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7126, kappa: 0.4278, kb_relative_information_score: 101.3023, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7233, predictive_accuracy: 0.7166, prior_entropy: 0.9989, recall: 0.7166, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, kb_relative_information_score: 0.7823, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, kb_relative_information_score: 0.4296, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.7124, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.1313, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 3.3526, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.501, kappa: 0.0033, kb_relative_information_score: -0.7615, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5025, predictive_accuracy: 0.5054, prior_entropy: 0.9989, recall: 0.5054, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.2824, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.1176, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 2.2839, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.4469, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8689, kappa: 0.7381, kb_relative_information_score: 4.3416, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8781, predictive_accuracy: 0.87, prior_entropy: 0.9989, recall: 0.87, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, kb_relative_information_score: 1.2328, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2036, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.626, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4743, kb_relative_information_score: 0.7613, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -2.8194, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.5059, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.501, kappa: 0.0033, kb_relative_information_score: -1.3211, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5025, predictive_accuracy: 0.5054, prior_entropy: 0.9989, recall: 0.5054, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -2.6399, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.1066, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, kb_relative_information_score: 0.5308, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.7307, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.6547, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.3147, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -0.7042, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4749, f_measure: 0.4226, kappa: -0.0432, kb_relative_information_score: -1.4331, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4615, predictive_accuracy: 0.4928, prior_entropy: 0.9989, recall: 0.4928, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5436, kb_relative_information_score: -0.0411, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.719, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, kb_relative_information_score: 4.5923, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8234, kappa: 0.6496, kb_relative_information_score: 26.0727, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.845, predictive_accuracy: 0.8267, prior_entropy: 0.9989, recall: 0.8267, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 52.8309, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.7286, mean_absolute_error: 0.5077, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.905, kappa: 0.8106, kb_relative_information_score: 34.6633, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9193, predictive_accuracy: 0.9061, prior_entropy: 0.9989, recall: 0.9061, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.1347, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.2349, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -2.1783, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -0.3599, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.5621, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.8343, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 443.598, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, kb_relative_information_score: 1.0613, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.4222, kappa: 0.0041, kb_relative_information_score: -0.0329, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5064, predictive_accuracy: 0.5181, prior_entropy: 0.9989, recall: 0.5181, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6456, kappa: 0.3688, kb_relative_information_score: 5.4793, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8024, predictive_accuracy: 0.6769, prior_entropy: 0.9989, recall: 0.6769, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.433, kappa: -0.0083, kb_relative_information_score: -1.4151, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4939, predictive_accuracy: 0.4838, prior_entropy: 0.9989, recall: 0.4838, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, kb_relative_information_score: 11.4292, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.2863, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.6938, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 58.3508, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -0.1333, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.1596, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.2753, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.2255, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.4151, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, kb_relative_information_score: 0.5674, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.6638, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -0.7939, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -0.4179, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,

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