Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
Issue #Downvotes for this reason By


Metric:

16132 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9115, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, kappa: 0.0141, kb_relative_information_score: 17.2032, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0586, prior_entropy: 3.8572, recall: 0.0586, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.6367, kappa: 0.6033, kb_relative_information_score: 392.171, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.6679, predictive_accuracy: 0.6384, prior_entropy: 3.8572, recall: 0.6384, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, kappa: 0.036, kb_relative_information_score: 36.7266, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0922, prior_entropy: 3.8572, recall: 0.0922, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kappa: 0.0017, kb_relative_information_score: 51.1922, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kappa: -0.0027, kb_relative_information_score: 3.1243, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0542, prior_entropy: 3.8572, recall: 0.0542, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.294, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, kappa: 0.4238, kb_relative_information_score: 216.8336, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4919, prior_entropy: 3.8572, recall: 0.4919, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: -0.0014, kb_relative_information_score: 2.2208, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, kappa: 0.4764, kb_relative_information_score: 255.3504, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5344, prior_entropy: 3.8572, recall: 0.5344, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 14.1401, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0017, kb_relative_information_score: 12.0847, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, kappa: -0.003, kb_relative_information_score: 17.4467, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8693, kappa: 0.8617, kb_relative_information_score: 571.6445, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8835, predictive_accuracy: 0.8741, prior_entropy: 3.8572, recall: 0.8741, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kappa: 0.001, kb_relative_information_score: 0.5529, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0425, prior_entropy: 3.8572, recall: 0.0425, relative_absolute_error: 1.06, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, kappa: 0.026, kb_relative_information_score: 22.4552, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0586, prior_entropy: 3.8572, recall: 0.0586, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0029, kb_relative_information_score: 26.5591, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.2237, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.022, prior_entropy: 3.8572, recall: 0.022, relative_absolute_error: 1.0711, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kappa: 0.035, kb_relative_information_score: 31.7029, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0644, prior_entropy: 3.8572, recall: 0.0644, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, kappa: -0.0019, kb_relative_information_score: 7.7977, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, kappa: 0.0065, kb_relative_information_score: 30.926, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0864, prior_entropy: 3.8572, recall: 0.0864, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3101, root_relative_squared_error: 1.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: 0.0001, kb_relative_information_score: 23.32, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0673, prior_entropy: 3.8572, recall: 0.0673, relative_absolute_error: 1.0214, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 7.866, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9115, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, kappa: 0.5557, kb_relative_information_score: 321.4533, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6032, prior_entropy: 3.8572, recall: 0.6032, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, kappa: 0.5826, kb_relative_information_score: 342.0026, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6266, prior_entropy: 3.8572, recall: 0.6266, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, kappa: 0.4391, kb_relative_information_score: 207.773, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5066, prior_entropy: 3.8572, recall: 0.5066, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, kappa: 0.5675, kb_relative_information_score: 317.0182, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6164, prior_entropy: 3.8572, recall: 0.6164, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kappa: 0.0002, kb_relative_information_score: 34.6722, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0966, prior_entropy: 3.8572, recall: 0.0966, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2982, root_relative_squared_error: 1.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, kappa: 0.4721, kb_relative_information_score: 191.0206, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5344, prior_entropy: 3.8572, recall: 0.5344, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, kappa: 0.0128, kb_relative_information_score: 12.4495, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0395, prior_entropy: 3.8572, recall: 0.0395, relative_absolute_error: 1.0519, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.318, root_relative_squared_error: 1.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0052, kb_relative_information_score: -7.7975, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0161, prior_entropy: 3.8572, recall: 0.0161, relative_absolute_error: 1.0775, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 50.3796, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3021, root_relative_squared_error: 1.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: -0.0017, kb_relative_information_score: 10.5836, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.002, kb_relative_information_score: 31.0863, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0908, prior_entropy: 3.8572, recall: 0.0908, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 34.4576, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.221, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9115, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, kappa: 0.4817, kb_relative_information_score: 251.6805, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5388, prior_entropy: 3.8572, recall: 0.5388, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kappa: -0.0029, kb_relative_information_score: 11.3324, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4887, kappa: -0.0017, kb_relative_information_score: 2.9131, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: 0.0029, kb_relative_information_score: 15.9369, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1362, prior_entropy: 3.8572, recall: 0.1362, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kappa: 0.0116, kb_relative_information_score: 6.4775, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0366, prior_entropy: 3.8572, recall: 0.0366, relative_absolute_error: 1.0551, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, kappa: 0.6815, kb_relative_information_score: 413.2311, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.713, prior_entropy: 3.8572, recall: 0.713, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, kappa: 0.557, kb_relative_information_score: 318.1448, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6047, prior_entropy: 3.8572, recall: 0.6047, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: 9.5338, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, kappa: 0.7022, kb_relative_information_score: 377.0507, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7321, prior_entropy: 3.8572, recall: 0.7321, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: 0.0008, kb_relative_information_score: 22.3442, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0673, prior_entropy: 3.8572, recall: 0.0673, relative_absolute_error: 1.0214, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kappa: -0.0002, kb_relative_information_score: 8.3641, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, kappa: -0.0029, kb_relative_information_score: 30.7794, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2199, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.001, kb_relative_information_score: 12.0032, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0996, prior_entropy: 3.8572, recall: 0.0996, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.254, root_relative_squared_error: 1.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, kappa: -0.003, kb_relative_information_score: 6.4528, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.001, kb_relative_information_score: 6.352, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0381, prior_entropy: 3.8572, recall: 0.0381, relative_absolute_error: 1.0535, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, kappa: 0.06, kb_relative_information_score: 55.589, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1054, prior_entropy: 3.8572, recall: 0.1054, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3069, root_relative_squared_error: 1.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kb_relative_information_score: 11.2226, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9115, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: -0.0029, kb_relative_information_score: 18.8183, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kappa: -0.0029, kb_relative_information_score: 10.1356, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, kappa: 0.4413, kb_relative_information_score: 180.6492, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5081, prior_entropy: 3.8572, recall: 0.5081, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, kb_relative_information_score: 4.5176, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, kappa: 0.6018, kb_relative_information_score: 345.91, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6442, prior_entropy: 3.8572, recall: 0.6442, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, kappa: 0.0506, kb_relative_information_score: 44.1805, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0996, prior_entropy: 3.8572, recall: 0.0996, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3079, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.1616, kappa: 0.0966, kb_relative_information_score: 88.4364, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.223, predictive_accuracy: 0.164, prior_entropy: 3.8572, recall: 0.164, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kappa: -0.0019, kb_relative_information_score: 13.1793, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, kappa: 0.1442, kb_relative_information_score: 31.1517, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2592, prior_entropy: 3.8572, recall: 0.2592, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, kb_relative_information_score: 11.6192, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 19.8401, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.003, kb_relative_information_score: 19.1715, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: 0.0002, kb_relative_information_score: 20.9884, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kappa: 0.001, kb_relative_information_score: 35.4127, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0996, prior_entropy: 3.8572, recall: 0.0996, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3079, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, kappa: 0.3211, kb_relative_information_score: 132.8909, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.41, prior_entropy: 3.8572, recall: 0.41, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: 0.0012, kb_relative_information_score: 21.429, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, kappa: 0.5265, kb_relative_information_score: 299.3589, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5783, prior_entropy: 3.8572, recall: 0.5783, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.175, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 21.2318, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2197, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kappa: 0.0017, kb_relative_information_score: 15.5347, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 38.9298, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2224, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, kb_relative_information_score: 7.6766, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7605, kappa: 0.7465, kb_relative_information_score: 500.0014, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.771, predictive_accuracy: 0.7701, prior_entropy: 3.8572, recall: 0.7701, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kb_relative_information_score: 8.1082, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, kappa: 0.67, kb_relative_information_score: 412.9496, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7028, prior_entropy: 3.8572, recall: 0.7028, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kappa: 0.0072, kb_relative_information_score: 32.4704, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0849, prior_entropy: 3.8572, recall: 0.0849, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3104, root_relative_squared_error: 1.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, kappa: 0.6951, kb_relative_information_score: 396.4591, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7247, prior_entropy: 3.8572, recall: 0.7247, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, kappa: 0.3327, kb_relative_information_score: 168.1512, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.41, prior_entropy: 3.8572, recall: 0.41, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, kappa: 0.5791, kb_relative_information_score: 313.8712, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6237, prior_entropy: 3.8572, recall: 0.6237, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, kappa: 0.0077, kb_relative_information_score: 10.1941, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0425, prior_entropy: 3.8572, recall: 0.0425, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, kappa: 0.3833, kb_relative_information_score: 172.336, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4612, prior_entropy: 3.8572, recall: 0.4612, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9115, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, kappa: 0.5174, kb_relative_information_score: 294.2678, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.571, prior_entropy: 3.8572, recall: 0.571, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, kb_relative_information_score: 7.6842, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kappa: 0.0015, kb_relative_information_score: 26.4664, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.22, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kappa: -0.0018, kb_relative_information_score: 11.3488, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 21.7335, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2197, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 8.4734, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, kb_relative_information_score: 23.2943, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.22, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, kb_relative_information_score: 13.6096, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 44.934, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1201, prior_entropy: 3.8572, recall: 0.1201, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kappa: 0.001, kb_relative_information_score: 35.4127, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0996, prior_entropy: 3.8572, recall: 0.0996, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3079, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9122, kappa: 0.9037, kb_relative_information_score: 593.0955, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9153, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, kappa: 0.44, kb_relative_information_score: 200.8655, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5051, prior_entropy: 3.8572, recall: 0.5051, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, kappa: 0.7104, kb_relative_information_score: 410.7493, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7394, prior_entropy: 3.8572, recall: 0.7394, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kappa: -0.0013, kb_relative_information_score: 15.1552, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.1054, kb_relative_information_score: 10.9217, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.224, prior_entropy: 3.8572, recall: 0.224, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9968,

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