OpenML
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 20390 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_98 study_99
Issue #Downvotes for this reason By


Metric:

20390 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: 0.9752, f_measure: 0.9557, kappa: 0.9504, kb_relative_information_score: 0.9531, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9594, predictive_accuracy: 0.9549, prior_entropy: 3.4594, recall: 0.9549, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7659, kappa: 0.7548, kb_relative_information_score: 0.7682, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7848, predictive_accuracy: 0.7771, prior_entropy: 3.4594, recall: 0.7771, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8461, kappa: 0.834, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8499, predictive_accuracy: 0.8491, prior_entropy: 3.4594, recall: 0.8491, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7089, kappa: 0.704, kb_relative_information_score: 0.7202, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7528, predictive_accuracy: 0.7309, prior_entropy: 3.4594, recall: 0.7309, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.6353, kappa: 0.6398, kb_relative_information_score: 0.6595, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7248, predictive_accuracy: 0.6725, prior_entropy: 3.4594, recall: 0.6725, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8461, kappa: 0.834, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8499, predictive_accuracy: 0.8491, prior_entropy: 3.4594, recall: 0.8491, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9433, kappa: 0.9378, kb_relative_information_score: 0.9412, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9446, predictive_accuracy: 0.9435, prior_entropy: 3.4594, recall: 0.9435, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8461, kappa: 0.834, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8499, predictive_accuracy: 0.8491, prior_entropy: 3.4594, recall: 0.8491, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9962, kappa: 0.9958, kb_relative_information_score: 0.996, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 3.4594, recall: 0.9962, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6065, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7166, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.994, kappa: 0.9934, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.4594, recall: 0.994, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.033, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.6059, kappa: 0.6054, kb_relative_information_score: 0.627, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7128, predictive_accuracy: 0.6413, prior_entropy: 3.4594, recall: 0.6413, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7659, kappa: 0.7548, kb_relative_information_score: 0.7682, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7848, predictive_accuracy: 0.7771, prior_entropy: 3.4594, recall: 0.7771, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6067, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7108, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.994, kappa: 0.9934, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.4594, recall: 0.994, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.033, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9896, kappa: 0.9886, kb_relative_information_score: 0.9892, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 3.4594, recall: 0.9896, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7089, kappa: 0.704, kb_relative_information_score: 0.7202, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7528, predictive_accuracy: 0.7309, prior_entropy: 3.4594, recall: 0.7309, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9976, kappa: 0.9974, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 3.4594, recall: 0.9976, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0207, root_relative_squared_error: 0.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.6353, kappa: 0.6398, kb_relative_information_score: 0.6595, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7248, predictive_accuracy: 0.6725, prior_entropy: 3.4594, recall: 0.6725, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7485, kappa: 0.7406, kb_relative_information_score: 0.7548, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7759, predictive_accuracy: 0.7642, prior_entropy: 3.4594, recall: 0.7642, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.958, kappa: 0.9538, kb_relative_information_score: 0.9563, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 3.4594, recall: 0.958, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9313, kappa: 0.9246, kb_relative_information_score: 0.9287, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9329, predictive_accuracy: 0.9315, prior_entropy: 3.4594, recall: 0.9315, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9875, kappa: 0.9862, kb_relative_information_score: 0.987, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 3.4594, recall: 0.9875, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, kappa: -0.0084, kb_relative_information_score: 0.0468, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0833, prior_entropy: 3.4594, recall: 0.0833, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4083, root_relative_squared_error: 1.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9557, kappa: 0.9504, kb_relative_information_score: 0.9531, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9594, predictive_accuracy: 0.9549, prior_entropy: 3.4594, recall: 0.9549, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9962, kappa: 0.9958, kb_relative_information_score: 0.996, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 3.4594, recall: 0.9962, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9962, kappa: 0.9958, kb_relative_information_score: 0.996, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 3.4594, recall: 0.9962, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, kappa: 0.1448, kb_relative_information_score: 0.1916, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.2225, prior_entropy: 3.4594, recall: 0.2225, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.376, root_relative_squared_error: 1.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9635, predictive_accuracy: 0.9607, prior_entropy: 3.4594, recall: 0.9607, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.6512, kappa: 0.6538, kb_relative_information_score: 0.6728, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7282, predictive_accuracy: 0.6853, prior_entropy: 3.4594, recall: 0.6853, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9176, kappa: 0.9098, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9198, predictive_accuracy: 0.918, prior_entropy: 3.4594, recall: 0.918, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, kappa: -0.0806, kb_relative_information_score: -0.0214, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0176, prior_entropy: 3.4594, recall: 0.0176, relative_absolute_error: 1.0806, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, kappa: -0.1, kb_relative_information_score: -0.0397, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, prior_entropy: 3.4594, relative_absolute_error: 1.1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9635, predictive_accuracy: 0.9607, prior_entropy: 3.4594, recall: 0.9607, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8461, kappa: 0.834, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8499, predictive_accuracy: 0.8491, prior_entropy: 3.4594, recall: 0.8491, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, kappa: -0.0962, kb_relative_information_score: -0.0362, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0035, prior_entropy: 3.4594, recall: 0.0035, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9969, kappa: 0.9966, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 3.4594, recall: 0.9969, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, kappa: -0.0962, kb_relative_information_score: -0.0362, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0035, prior_entropy: 3.4594, recall: 0.0035, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9905, kappa: 0.9896, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 3.4594, recall: 0.9905, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, kappa: -0.0962, kb_relative_information_score: -0.0362, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0035, prior_entropy: 3.4594, recall: 0.0035, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, kappa: -0.0962, kb_relative_information_score: -0.0362, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0035, prior_entropy: 3.4594, recall: 0.0035, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9905, kappa: 0.9896, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 3.4594, recall: 0.9905, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9905, kappa: 0.9896, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 3.4594, recall: 0.9905, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.6259, kappa: 0.6298, kb_relative_information_score: 0.6501, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7159, predictive_accuracy: 0.6635, prior_entropy: 3.4594, recall: 0.6635, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9905, kappa: 0.9896, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 3.4594, recall: 0.9905, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6066, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.717, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9905, kappa: 0.9896, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 3.4594, recall: 0.9905, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, kappa: -0.0962, kb_relative_information_score: -0.0362, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0035, prior_entropy: 3.4594, recall: 0.0035, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9128, kappa: 0.8994, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9317, predictive_accuracy: 0.9085, prior_entropy: 3.4594, recall: 0.9085, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.6259, kappa: 0.6298, kb_relative_information_score: 0.6501, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7159, predictive_accuracy: 0.6635, prior_entropy: 3.4594, recall: 0.6635, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, kappa: -0.0962, kb_relative_information_score: -0.0362, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0035, prior_entropy: 3.4594, recall: 0.0035, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.93, kappa: 0.9232, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9317, predictive_accuracy: 0.9302, prior_entropy: 3.4594, recall: 0.9302, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, kappa: 0.237, kb_relative_information_score: 0.2788, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.3064, prior_entropy: 3.4594, recall: 0.3064, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3551, root_relative_squared_error: 1.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.93, kappa: 0.9232, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9317, predictive_accuracy: 0.9302, prior_entropy: 3.4594, recall: 0.9302, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9835, kappa: 0.9818, kb_relative_information_score: 0.9828, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.4594, recall: 0.9835, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.6063, kappa: 0.6058, kb_relative_information_score: 0.6274, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7153, predictive_accuracy: 0.6416, prior_entropy: 3.4594, recall: 0.6416, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9844, kappa: 0.9828, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 3.4594, recall: 0.9844, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4529, kappa: -0.0942, kb_relative_information_score: -0.0343, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0053, prior_entropy: 3.4594, recall: 0.0053, relative_absolute_error: 1.0942, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.6115, kappa: 0.6106, kb_relative_information_score: 0.6319, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7166, predictive_accuracy: 0.646, prior_entropy: 3.4594, recall: 0.646, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9765, kappa: 0.9742, kb_relative_information_score: 0.9756, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.4594, recall: 0.9765, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.2272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4586, kappa: -0.0828, kb_relative_information_score: -0.0235, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0156, prior_entropy: 3.4594, recall: 0.0156, relative_absolute_error: 1.0828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9342, kappa: 0.9278, kb_relative_information_score: 0.9318, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9358, predictive_accuracy: 0.9344, prior_entropy: 3.4594, recall: 0.9344, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9773, kappa: 0.975, kb_relative_information_score: 0.9764, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 3.4594, recall: 0.9773, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9672, kappa: 0.964, kb_relative_information_score: 0.966, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 3.4594, recall: 0.9673, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4565, kappa: -0.087, kb_relative_information_score: -0.0275, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0118, prior_entropy: 3.4594, recall: 0.0118, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8554, kappa: 0.8438, kb_relative_information_score: 0.8524, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8589, predictive_accuracy: 0.858, prior_entropy: 3.4594, recall: 0.858, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8554, kappa: 0.8438, kb_relative_information_score: 0.8524, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8589, predictive_accuracy: 0.858, prior_entropy: 3.4594, recall: 0.858, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4532, kappa: -0.0936, kb_relative_information_score: -0.0337, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0058, prior_entropy: 3.4594, recall: 0.0058, relative_absolute_error: 1.0936, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.0257, kappa: -0.0386, kb_relative_information_score: 0.0183, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.1123, predictive_accuracy: 0.0558, prior_entropy: 3.4594, recall: 0.0558, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.0257, kappa: -0.0386, kb_relative_information_score: 0.0183, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.1123, predictive_accuracy: 0.0558, prior_entropy: 3.4594, recall: 0.0558, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9342, kappa: 0.9278, kb_relative_information_score: 0.9318, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9358, predictive_accuracy: 0.9344, prior_entropy: 3.4594, recall: 0.9344, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6066, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7158, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9784, kappa: 0.9762, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 3.4594, recall: 0.9784, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8087, kappa: 0.796, kb_relative_information_score: 0.8072, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8173, predictive_accuracy: 0.8145, prior_entropy: 3.4594, recall: 0.8145, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6066, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7158, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.6115, kappa: 0.6106, kb_relative_information_score: 0.6319, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7166, predictive_accuracy: 0.646, prior_entropy: 3.4594, recall: 0.646, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6066, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7158, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6066, kappa: 0.606, kb_relative_information_score: 0.6276, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7158, predictive_accuracy: 0.6418, prior_entropy: 3.4594, recall: 0.6418, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9844, kappa: 0.9828, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 3.4594, recall: 0.9844, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4565, kappa: -0.087, kb_relative_information_score: -0.0275, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0118, prior_entropy: 3.4594, recall: 0.0118, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, kappa: -0.0932, kb_relative_information_score: -0.0333, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0062, prior_entropy: 3.4594, recall: 0.0062, relative_absolute_error: 1.0932, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4251, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.607, kappa: 0.6062, kb_relative_information_score: 0.6278, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7162, predictive_accuracy: 0.642, prior_entropy: 3.4594, recall: 0.642, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8087, kappa: 0.796, kb_relative_information_score: 0.8072, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8173, predictive_accuracy: 0.8145, prior_entropy: 3.4594, recall: 0.8145, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9967, kappa: 0.9964, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 3.4594, recall: 0.9967, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, kappa: -0.0932, kb_relative_information_score: -0.0333, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, predictive_accuracy: 0.0062, prior_entropy: 3.4594, recall: 0.0062, relative_absolute_error: 1.0932, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4251, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9128, kappa: 0.8994, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9317, predictive_accuracy: 0.9085, prior_entropy: 3.4594, recall: 0.9085, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,

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