OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, kb_relative_information_score: 22.9442, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 1.3772, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, kb_relative_information_score: 2.4743, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -4.6083, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -3.118, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8909, kappa: 0.7799, kb_relative_information_score: 810.6005, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8924, predictive_accuracy: 0.8907, prior_entropy: 0.9912, recall: 0.8907, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4192, kappa: 0.0019, kb_relative_information_score: -25.7907, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5079, predictive_accuracy: 0.4679, prior_entropy: 0.9912, recall: 0.4679, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -9.3283, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -5.8184, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0742, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, kb_relative_information_score: 19.9165, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -0.6522, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8558, kappa: 0.7083, kb_relative_information_score: 255.6096, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.856, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 5.1039, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -11.5862, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, kb_relative_information_score: 33.6633, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9578, kappa: 0.9145, kb_relative_information_score: 1104.4742, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9579, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, kb_relative_information_score: 4.5085, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -2.4956, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9096, kappa: 0.8168, kb_relative_information_score: 657.4289, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9096, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8434, kappa: 0.6834, kb_relative_information_score: 415.5123, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8438, predictive_accuracy: 0.8433, prior_entropy: 0.9912, recall: 0.8433, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -6.08, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -5.0899, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.4707, kappa: 0.0723, kb_relative_information_score: 73.6544, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6595, predictive_accuracy: 0.5824, prior_entropy: 0.9912, recall: 0.5824, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 1.7907, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 1.2599, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, kb_relative_information_score: -0.6496, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9505, kappa: 0.8997, kb_relative_information_score: 1035.4354, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.882, kappa: 0.7611, kb_relative_information_score: 688.8863, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8821, predictive_accuracy: 0.8819, prior_entropy: 0.9912, recall: 0.8819, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, kb_relative_information_score: 28.0863, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -1.5297, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.5194, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9607, kappa: 0.9205, kb_relative_information_score: 1100.315, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9609, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 2.4183, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.2875, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, kb_relative_information_score: 11.0859, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.845, kappa: 0.687, kb_relative_information_score: 565.5351, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.846, predictive_accuracy: 0.8448, prior_entropy: 0.9912, recall: 0.8448, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, kb_relative_information_score: -4.8778, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9424, kappa: 0.8834, kb_relative_information_score: 972.9737, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9424, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -5.7141, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.965, kappa: 0.9292, kb_relative_information_score: 1072.892, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1175.4592, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -7.2819, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1118.3881, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8891, kappa: 0.7754, kb_relative_information_score: 758.8064, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8891, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -17.2676, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, kb_relative_information_score: 16.6897, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.912, kappa: 0.8224, kb_relative_information_score: 835.5417, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9134, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -19.2503, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, kb_relative_information_score: 6.2252, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -2.4959, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7783, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -5.8686, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.1362, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -0.1937, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 48.7854, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.1684, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, kb_relative_information_score: 19.3572, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, kb_relative_information_score: 5.7055, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, kb_relative_information_score: -35.1699, mean_absolute_error: 0.5024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.4446, prior_entropy: 0.9912, recall: 0.4446, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9511, kappa: 0.9008, kb_relative_information_score: 1006.3026, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9514, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, kb_relative_information_score: 8.6273, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.493, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -8.3309, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, kb_relative_information_score: 18.7895, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9086, kappa: 0.8143, kb_relative_information_score: 748.5747, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9154, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8486, kappa: 0.6927, kb_relative_information_score: 345.2839, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8492, predictive_accuracy: 0.8491, prior_entropy: 0.9912, recall: 0.8491, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 11.9621, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, kb_relative_information_score: 1.8958, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.4567, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, kb_relative_information_score: 5.9163, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -3.9394, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, kb_relative_information_score: 5.3562, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 214.2998, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8822, predictive_accuracy: 0.8717, prior_entropy: 0.9912, recall: 0.8717, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, kb_relative_information_score: 6.0013, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -3.7765, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 12.2009, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8629, kappa: 0.7221, kb_relative_information_score: 237.1544, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8628, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1213.5567, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1101.4854, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8897, kappa: 0.7762, kb_relative_information_score: 361.413, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8901, predictive_accuracy: 0.8899, prior_entropy: 0.9912, recall: 0.8899, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 1.3851, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, kb_relative_information_score: 11.2502, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -11.9928, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.6656, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -2.8003, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, kb_relative_information_score: 22.8248, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -1.5203, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 15.19, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, kb_relative_information_score: 2.6307, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 0.9344, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, kb_relative_information_score: 1.8635, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 5.7133, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, kb_relative_information_score: -0.1659, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.673, kappa: 0.3629, kb_relative_information_score: 191.9773, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7534, predictive_accuracy: 0.7026, prior_entropy: 0.9912, recall: 0.7026, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 75.9388, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, kb_relative_information_score: 14.6707, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.0388, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8465, kappa: 0.6901, kb_relative_information_score: 353.5069, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8476, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 4.8071, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8458, kappa: 0.6886, kb_relative_information_score: 579.321, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8469, predictive_accuracy: 0.8455, prior_entropy: 0.9912, recall: 0.8455, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7205,

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

OpenML bootcamp

From your own software

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

OpenML APIs