OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

16669 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: 0.9949, f_measure: 0.9793, kappa: 0.8177, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9791, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9801, kappa: 0.8251, kb_relative_information_score: 0.6794, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.98, predictive_accuracy: 0.9804, prior_entropy: 0.3324, recall: 0.9804, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9104, kappa: 0.0677, kb_relative_information_score: -0.4046, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8976, predictive_accuracy: 0.9305, prior_entropy: 0.3324, recall: 0.9305, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9533, kappa: 0.5849, kb_relative_information_score: 0.3831, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9525, predictive_accuracy: 0.9544, prior_entropy: 0.3324, recall: 0.9544, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9784, kappa: 0.8094, kb_relative_information_score: 0.7044, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9782, predictive_accuracy: 0.9788, prior_entropy: 0.3324, recall: 0.9788, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.976, kappa: 0.7755, kb_relative_information_score: 0.501, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.3324, recall: 0.978, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9727, kappa: 0.752, kb_relative_information_score: 0.4067, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9726, predictive_accuracy: 0.974, prior_entropy: 0.3324, recall: 0.974, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9801, kappa: 0.8267, kb_relative_information_score: 0.684, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.3324, recall: 0.9801, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9759, kappa: 0.784, kb_relative_information_score: 0.7012, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9757, predictive_accuracy: 0.9767, prior_entropy: 0.3324, recall: 0.9767, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9757, kappa: 0.7812, kb_relative_information_score: 0.6793, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9756, predictive_accuracy: 0.9767, prior_entropy: 0.3324, recall: 0.9767, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.976, kappa: 0.7849, kb_relative_information_score: 0.6686, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9757, predictive_accuracy: 0.9767, prior_entropy: 0.3324, recall: 0.9767, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9762, kappa: 0.7852, kb_relative_information_score: 0.6856, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9761, predictive_accuracy: 0.9772, prior_entropy: 0.3324, recall: 0.9772, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.9053, kappa: 0.0215, kb_relative_information_score: 0.0775, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8887, predictive_accuracy: 0.9255, prior_entropy: 0.3324, recall: 0.9255, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2729, root_relative_squared_error: 1.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9898, kappa: 0.9098, kb_relative_information_score: 0.8661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9897, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9749, kappa: 0.7742, kb_relative_information_score: 0.681, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9747, predictive_accuracy: 0.9759, prior_entropy: 0.3324, recall: 0.9759, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9904, kappa: 0.916, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3324, recall: 0.9905, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9896, kappa: 0.9092, kb_relative_information_score: 0.8728, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9733, kappa: 0.7615, kb_relative_information_score: 0.582, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9729, predictive_accuracy: 0.974, prior_entropy: 0.3324, recall: 0.974, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9806, kappa: 0.8291, kb_relative_information_score: 0.6643, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9809, prior_entropy: 0.3324, recall: 0.9809, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9746, kappa: 0.7712, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9744, predictive_accuracy: 0.9756, prior_entropy: 0.3324, recall: 0.9756, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9912, kappa: 0.9231, kb_relative_information_score: 0.8716, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3324, recall: 0.9913, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9829, kappa: 0.8494, kb_relative_information_score: 0.7406, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9827, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9753, kappa: 0.7799, kb_relative_information_score: 0.644, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.975, predictive_accuracy: 0.9759, prior_entropy: 0.3324, recall: 0.9759, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9818, kappa: 0.84, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.982, prior_entropy: 0.3324, recall: 0.982, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.973, kappa: 0.7539, kb_relative_information_score: 0.4091, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9729, predictive_accuracy: 0.9743, prior_entropy: 0.3324, recall: 0.9743, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9839, kappa: 0.8576, kb_relative_information_score: 0.7644, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3324, recall: 0.9841, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9894, kappa: 0.9074, kb_relative_information_score: 0.8629, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.9124, kappa: 0.0634, kb_relative_information_score: 0.2088, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9037, predictive_accuracy: 0.9361, prior_entropy: 0.3324, recall: 0.9361, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2528, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9898, kappa: 0.9106, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9865, kappa: 0.8809, kb_relative_information_score: 0.7729, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3324, recall: 0.9867, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9893, kappa: 0.9066, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.096, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9912, kappa: 0.9228, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3324, recall: 0.9913, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9894, kappa: 0.907, kb_relative_information_score: 0.857, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.8961, kappa: -0.0049, kb_relative_information_score: -0.1326, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8844, predictive_accuracy: 0.9085, prior_entropy: 0.3324, recall: 0.9085, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3024, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9813, kappa: 0.8353, kb_relative_information_score: 0.7163, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9814, prior_entropy: 0.3324, recall: 0.9814, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9499, kappa: 0.5494, kb_relative_information_score: 0.3152, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9486, predictive_accuracy: 0.9517, prior_entropy: 0.3324, recall: 0.9517, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9887, kappa: 0.9003, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3324, recall: 0.9889, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9884, kappa: 0.8982, kb_relative_information_score: 0.8365, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3324, recall: 0.9886, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9879, kappa: 0.8939, kb_relative_information_score: 0.8328, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9879, predictive_accuracy: 0.9881, prior_entropy: 0.3324, recall: 0.9881, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9815, kappa: 0.8373, kb_relative_information_score: 0.7153, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9814, predictive_accuracy: 0.9817, prior_entropy: 0.3324, recall: 0.9817, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9742, kappa: 0.7617, kb_relative_information_score: 0.5343, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9747, predictive_accuracy: 0.9759, prior_entropy: 0.3324, recall: 0.9759, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.971, kappa: 0.7461, kb_relative_information_score: 0.6443, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.3324, recall: 0.9711, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9114, kappa: 0.0543, kb_relative_information_score: -0.3641, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9003, predictive_accuracy: 0.935, prior_entropy: 0.3324, recall: 0.935, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9724, kappa: 0.7489, kb_relative_information_score: 0.4258, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9723, predictive_accuracy: 0.9738, prior_entropy: 0.3324, recall: 0.9738, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9896, kappa: 0.9084, kb_relative_information_score: 0.8503, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8673, kappa: -0.0003, kb_relative_information_score: -0.8449, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.885, predictive_accuracy: 0.851, prior_entropy: 0.3324, recall: 0.851, relative_absolute_error: 1.2935, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.386, root_relative_squared_error: 1.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, kb_relative_information_score: 0.0505, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9812, kappa: 0.8346, kb_relative_information_score: 0.6887, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9814, prior_entropy: 0.3324, recall: 0.9814, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9745, kappa: 0.7692, kb_relative_information_score: 0.4943, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9744, predictive_accuracy: 0.9756, prior_entropy: 0.3324, recall: 0.9756, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9914, kappa: 0.9244, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9914, predictive_accuracy: 0.9915, prior_entropy: 0.3324, recall: 0.9915, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9788, kappa: 0.811, kb_relative_information_score: 0.6558, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9786, predictive_accuracy: 0.9793, prior_entropy: 0.3324, recall: 0.9793, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.118, root_relative_squared_error: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9754, kappa: 0.7772, kb_relative_information_score: 0.5165, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9752, predictive_accuracy: 0.9764, prior_entropy: 0.3324, recall: 0.9764, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9899, kappa: 0.9113, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9522, kappa: 0.5753, kb_relative_information_score: 0.3791, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9533, prior_entropy: 0.3324, recall: 0.9533, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9885, kappa: 0.8994, kb_relative_information_score: 0.8619, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.3324, recall: 0.9886, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9896, kappa: 0.9084, kb_relative_information_score: 0.8385, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9835, kappa: 0.8537, kb_relative_information_score: 0.7422, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9834, predictive_accuracy: 0.9838, prior_entropy: 0.3324, recall: 0.9838, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.4259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.976, kappa: 0.7875, kb_relative_information_score: 0.6308, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9757, predictive_accuracy: 0.9764, prior_entropy: 0.3324, recall: 0.9764, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9796, kappa: 0.8228, kb_relative_information_score: 0.6471, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.8676, kappa: 0.003, kb_relative_information_score: -0.8417, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8854, predictive_accuracy: 0.8513, prior_entropy: 0.3324, recall: 0.8513, relative_absolute_error: 1.2912, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9885, kappa: 0.8994, kb_relative_information_score: 0.7886, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.3324, recall: 0.9886, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9895, kappa: 0.908, kb_relative_information_score: 0.8654, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9904, kappa: 0.916, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3324, recall: 0.9905, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9538, kappa: 0.588, kb_relative_information_score: 0.4364, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9529, predictive_accuracy: 0.9549, prior_entropy: 0.3324, recall: 0.9549, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, kb_relative_information_score: 0.0378, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9478, kappa: 0.5103, kb_relative_information_score: 0.2149, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9461, predictive_accuracy: 0.952, prior_entropy: 0.3324, recall: 0.952, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9336, kappa: 0.3208, kb_relative_information_score: 0.2161, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9364, predictive_accuracy: 0.9467, prior_entropy: 0.3324, recall: 0.9467, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9901, kappa: 0.9127, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.99, predictive_accuracy: 0.9902, prior_entropy: 0.3324, recall: 0.9902, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9733, kappa: 0.757, kb_relative_information_score: 0.4226, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9732, predictive_accuracy: 0.9745, prior_entropy: 0.3324, recall: 0.9745, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.983, kappa: 0.8518, kb_relative_information_score: 0.7405, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, kb_relative_information_score: -0.237, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9752, kappa: 0.7762, kb_relative_information_score: 0.6896, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.975, predictive_accuracy: 0.9761, prior_entropy: 0.3324, recall: 0.9761, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9818, kappa: 0.84, kb_relative_information_score: 0.7003, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.982, prior_entropy: 0.3324, recall: 0.982, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8673, kappa: -0.0003, kb_relative_information_score: -0.8449, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.885, predictive_accuracy: 0.851, prior_entropy: 0.3324, recall: 0.851, relative_absolute_error: 1.2935, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.386, root_relative_squared_error: 1.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9896, kappa: 0.9095, kb_relative_information_score: 0.8629, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.095, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9683, kappa: 0.7355, kb_relative_information_score: 0.5871, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9702, predictive_accuracy: 0.9671, prior_entropy: 0.3324, recall: 0.9671, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9885, kappa: 0.8998, kb_relative_information_score: 0.8558, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.3324, recall: 0.9886, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9732, kappa: 0.7582, kb_relative_information_score: 0.6754, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.973, predictive_accuracy: 0.9743, prior_entropy: 0.3324, recall: 0.9743, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.5833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9906, kappa: 0.9178, kb_relative_information_score: 0.8678, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3324, recall: 0.9907, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9894, kappa: 0.9074, kb_relative_information_score: 0.8564, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9793, kappa: 0.8158, kb_relative_information_score: 0.7139, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9791, predictive_accuracy: 0.9799, prior_entropy: 0.3324, recall: 0.9799, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9909, kappa: 0.9206, kb_relative_information_score: 0.8098, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3324, recall: 0.991, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9852, kappa: 0.8698, kb_relative_information_score: 0.7585, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9851, predictive_accuracy: 0.9854, prior_entropy: 0.3324, recall: 0.9854, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.989, kappa: 0.9033, kb_relative_information_score: 0.8316, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.3324, recall: 0.9891, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.9145, kappa: 0.1459, kb_relative_information_score: -0.409, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9055, predictive_accuracy: 0.9284, prior_entropy: 0.3324, recall: 0.9284, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9197, kappa: 0.2514, kb_relative_information_score: 0.0009, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9149, predictive_accuracy: 0.9258, prior_entropy: 0.3324, recall: 0.9258, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2488, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, kb_relative_information_score: 0.0386, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9891, kappa: 0.9027, kb_relative_information_score: 0.7205, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9215, kappa: 0.2771, kb_relative_information_score: -0.0638, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9176, predictive_accuracy: 0.9263, prior_entropy: 0.3324, recall: 0.9263, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9909, kappa: 0.9206, kb_relative_information_score: 0.8733, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3324, recall: 0.991, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9763, kappa: 0.7861, kb_relative_information_score: 0.6994, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9761, predictive_accuracy: 0.9772, prior_entropy: 0.3324, recall: 0.9772, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9882, kappa: 0.8969, kb_relative_information_score: 0.8544, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3324, recall: 0.9883, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, kb_relative_information_score: 0.265, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9902, kappa: 0.9145, kb_relative_information_score: 0.8803, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.3324, recall: 0.9902, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3754,

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