OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 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_50 study_7 study_70 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

12568 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: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.185, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.185, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9507, kappa: 0.8927, kb_relative_information_score: 1372.2294, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9516, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1687.2686, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.949, kappa: 0.8901, kb_relative_information_score: 1305.2654, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9505, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.899, kappa: 0.7794, kb_relative_information_score: 1311.1126, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8995, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9908, kappa: 0.9798, kb_relative_information_score: 1679.2363, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 1.2099, recall: 0.9907, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9908, kappa: 0.9798, kb_relative_information_score: 1679.2363, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 1.2099, recall: 0.9907, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 1709.9942, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.2099, recall: 0.9988, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0228, root_relative_squared_error: 0.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9835, kb_relative_information_score: 1678.3882, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9926, predictive_accuracy: 0.9925, prior_entropy: 1.2099, recall: 0.9925, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9931, kappa: 0.9848, kb_relative_information_score: 1654.8866, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9933, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1720.1993, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9735, kappa: 0.9419, kb_relative_information_score: 1605.4552, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9736, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9205, kappa: 0.8362, kb_relative_information_score: 1354.3832, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.93, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.5736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8594, kappa: 0.7094, kb_relative_information_score: 1079.0215, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8666, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9817, kappa: 0.96, kb_relative_information_score: 1652.0986, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9822, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8519, kappa: 0.678, kb_relative_information_score: 1076.031, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8556, predictive_accuracy: 0.8588, prior_entropy: 1.2099, recall: 0.8588, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 1687.4303, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9938, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8519, kappa: 0.678, kb_relative_information_score: 1030.3896, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8556, predictive_accuracy: 0.8588, prior_entropy: 1.2099, recall: 0.8588, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8519, kappa: 0.678, kb_relative_information_score: 1030.3896, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8556, predictive_accuracy: 0.8588, prior_entropy: 1.2099, recall: 0.8588, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8557, kappa: 0.7146, kb_relative_information_score: 1153.2403, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8467, predictive_accuracy: 0.8686, prior_entropy: 1.2099, recall: 0.8686, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9575, kappa: 0.9073, kb_relative_information_score: 1556.1839, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9581, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9615, kappa: 0.9156, kb_relative_information_score: 1546.4851, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9632, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9376, kappa: 0.865, kb_relative_information_score: 1409.0034, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9425, kappa: 0.8744, kb_relative_information_score: 1495.6557, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9434, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9156, kappa: 0.8158, kb_relative_information_score: 1312.5283, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9201, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9387, kappa: 0.8661, kb_relative_information_score: 1495.6631, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9391, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9104, kappa: 0.8059, kb_relative_information_score: 1299.4342, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.918, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.821, kappa: 0.6634, kb_relative_information_score: 978.9947, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8121, predictive_accuracy: 0.8449, prior_entropy: 1.2099, recall: 0.8449, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9156, kappa: 0.8158, kb_relative_information_score: 1312.5283, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9201, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9376, kappa: 0.865, kb_relative_information_score: 1409.0034, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8557, kappa: 0.7146, kb_relative_information_score: 1153.2403, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8467, predictive_accuracy: 0.8686, prior_entropy: 1.2099, recall: 0.8686, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8598, kappa: 0.7224, kb_relative_information_score: 1163.1224, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8485, predictive_accuracy: 0.8738, prior_entropy: 1.2099, recall: 0.8738, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9315, kappa: 0.8512, kb_relative_information_score: 1404.1797, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9376, kappa: 0.865, kb_relative_information_score: 1409.0034, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8916, kappa: 0.769, kb_relative_information_score: 1229.9537, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8972, predictive_accuracy: 0.8918, prior_entropy: 1.2099, recall: 0.8918, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8518, kappa: 0.7016, kb_relative_information_score: 1085.2817, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8636, predictive_accuracy: 0.8605, prior_entropy: 1.2099, recall: 0.8605, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9156, kappa: 0.8158, kb_relative_information_score: 1312.5283, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9201, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.821, kappa: 0.6634, kb_relative_information_score: 978.9947, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8121, predictive_accuracy: 0.8449, prior_entropy: 1.2099, recall: 0.8449, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9315, kappa: 0.8512, kb_relative_information_score: 1404.1797, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9376, kappa: 0.865, kb_relative_information_score: 1409.0034, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9575, kappa: 0.9073, kb_relative_information_score: 1556.1839, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9581, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8557, kappa: 0.7146, kb_relative_information_score: 1153.2403, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8467, predictive_accuracy: 0.8686, prior_entropy: 1.2099, recall: 0.8686, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8869, kappa: 0.7575, kb_relative_information_score: 1201.4549, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8934, predictive_accuracy: 0.8854, prior_entropy: 1.2099, recall: 0.8854, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9425, kappa: 0.8744, kb_relative_information_score: 1495.6557, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9434, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9742, kappa: 0.9432, kb_relative_information_score: 1618.304, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9746, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9575, kappa: 0.9073, kb_relative_information_score: 1556.1839, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9581, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9315, kappa: 0.8512, kb_relative_information_score: 1404.1797, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8598, kappa: 0.7224, kb_relative_information_score: 1163.1224, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8485, predictive_accuracy: 0.8738, prior_entropy: 1.2099, recall: 0.8738, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9615, kappa: 0.9156, kb_relative_information_score: 1546.4851, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9632, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8579, kappa: 0.7223, kb_relative_information_score: 1140.9864, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8758, kappa: 0.7498, kb_relative_information_score: 1225.2985, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8843, predictive_accuracy: 0.8808, prior_entropy: 1.2099, recall: 0.8808, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.875, kappa: 0.7424, kb_relative_information_score: 1173.1868, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8854, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8314, kappa: 0.6701, kb_relative_information_score: 1010.6282, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8375, predictive_accuracy: 0.8472, prior_entropy: 1.2099, recall: 0.8472, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8189, kappa: 0.6594, kb_relative_information_score: 974.445, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8902, kappa: 0.765, kb_relative_information_score: 1242.4243, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8942, predictive_accuracy: 0.89, prior_entropy: 1.2099, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9156, kappa: 0.8158, kb_relative_information_score: 1312.5283, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9201, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9808, kappa: 0.9583, kb_relative_information_score: 1637.3705, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9315, kappa: 0.8512, kb_relative_information_score: 1404.1797, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9455, kappa: 0.8812, kb_relative_information_score: 1434.4206, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9475, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8884, kappa: 0.7617, kb_relative_information_score: 1238.2217, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8936, predictive_accuracy: 0.8877, prior_entropy: 1.2099, recall: 0.8877, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9575, kappa: 0.9073, kb_relative_information_score: 1556.1839, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9581, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9315, kappa: 0.8512, kb_relative_information_score: 1404.1797, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8136, kappa: 0.648, kb_relative_information_score: 941.8873, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8098, predictive_accuracy: 0.8356, prior_entropy: 1.2099, recall: 0.8356, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.239, root_relative_squared_error: 0.7068,

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