Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 14032 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_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

14032 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: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.9825, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.747, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5378.7225, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5400.3039, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5368.1737, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5390.7331, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5402.3034, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5397.2242, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.0225, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.1525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.2224, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5382.0477, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5401.4151, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5368.3271, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5405.5378, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5388.323, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5371.3721, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5386.3372, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.9595, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5404.1885, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.3797, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.6061, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5393.3342, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5381.396, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5388.8, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5396.3532, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.6693, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5381.9487, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5387.1475, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.8343, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5356.8538, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7151, recall: 0.9896, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5378.74, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5401.9298, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5408.5477, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5398.9592, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5381.958, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.6861, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5376.8853, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5391.614, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.9796, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0878, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5401.3834, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5401.0023, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9901, kappa: 0.9851, kb_relative_information_score: 5361.9395, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1.7151, recall: 0.9901, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5401.3489, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5367.8733, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5390.234, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.9158, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5401.3601, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5388.0991, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.9493, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5406.144, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5390.5369, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0277, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5365.0672, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.4592, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9907, kappa: 0.9859, kb_relative_information_score: 5372.6318, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7151, recall: 0.9907, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9907, kappa: 0.9859, kb_relative_information_score: 5374.3858, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7151, recall: 0.9907, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.031, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5387.4201, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5377.0671, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5411.7793, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5400.2469, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5376.0045, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5393.0079, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5399.4173, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5405.7974, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.6806, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5406.3839, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.1617, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.8119, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.665, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5372.0911, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5410.5258, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.0708, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5405.815, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5367.9689, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5405.3016, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.994, kappa: 0.9909, kb_relative_information_score: 5406.6831, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5369.6329, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.8726, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5393.5919, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5398.3629, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5381.2571, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5391.6519, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.8807, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.7094, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.45, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5358.5605, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7151, recall: 0.9896, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5373.2035, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5393.0937, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5406.5995, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5370.8964, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.7731, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5391.7829, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.055, root_relative_squared_error: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.364, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.4215, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9901, kappa: 0.9851, kb_relative_information_score: 5363.0607, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1.7151, recall: 0.9901, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.1559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.6946, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5399.1176, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.1483, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1512,

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