Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 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:

20384 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: 0.997, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5400.7622, mean_absolute_error: 0.0034, 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: 0.0103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5396.4447, mean_absolute_error: 0.0038, 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: 0.0114, 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: 0.9977, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5364.747, 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: 0.019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9904, kappa: 0.9856, kb_relative_information_score: 5078.5236, mean_absolute_error: 0.0349, 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: 0.1053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 432.0535, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5254.0441, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.1927, 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: 0.018, 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: 0.9978, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5397.0223, mean_absolute_error: 0.0038, 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: 0.0115, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5392.8512, mean_absolute_error: 0.0042, 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: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 288.9072, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0765, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9875, kb_relative_information_score: 5058.384, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 1.7151, recall: 0.9918, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5356.4407, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.755, 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: 0.0619, root_relative_squared_error: 0.1522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5296.1346, mean_absolute_error: 0.0146, 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: 0.0442, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5028.2212, mean_absolute_error: 0.0403, 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: 0.1216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5369.9212, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9919, kappa: 0.9878, kb_relative_information_score: 5391.9341, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 1.7151, recall: 0.9919, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5397.3633, mean_absolute_error: 0.0038, 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: 0.0113, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5310.2478, mean_absolute_error: 0.0131, 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: 0.0395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5173.4012, mean_absolute_error: 0.0268, 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: 0.0809, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5413.9449, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5261.683, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.8598, 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: 0.0614, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5424.6241, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5336.7481, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.7186, 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: 0.1515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5410.4147, mean_absolute_error: 0.0028, 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: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5359.1304, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5312.0938, mean_absolute_error: 0.013, 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: 0.0393, 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: 0.9964, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5407.8898, mean_absolute_error: 0.0028, 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: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5156.9884, mean_absolute_error: 0.0283, 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: 0.0855, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5404.5358, 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: 0.0097, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5377.6748, 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: 0.0586, root_relative_squared_error: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.7494, 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: 0.0619, root_relative_squared_error: 0.1521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5372.5145, 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: 0.017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5387.4987, 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: 0.0564, root_relative_squared_error: 0.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 534.5882, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5307.1987, mean_absolute_error: 0.0136, 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: 0.0412, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5241.1009, mean_absolute_error: 0.0195, 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: 0.0589, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5399.3959, mean_absolute_error: 0.004, 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: 0.0121, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5387.6636, 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: 0.0136, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.7176, 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: 0.9999, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5230.2334, mean_absolute_error: 0.021, 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: 0.0633, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5378.7974, mean_absolute_error: 0.0063, 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: 0.019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5389.9096, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9928, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5403.7456, 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: 0.0495, root_relative_squared_error: 0.1216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.8854, 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: 0.0563, root_relative_squared_error: 0.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5400.2902, 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: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5395.4767, mean_absolute_error: 0.0039, 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: 0.0117, 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: 0.9977, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5408.6949, mean_absolute_error: 0.0029, 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: 0.0086, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5410.3586, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.995, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5409.688, mean_absolute_error: 0.0028, 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: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5386.9162, 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: 0.0565, root_relative_squared_error: 0.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.2227, 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: 0.0561, root_relative_squared_error: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5406.1608, 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: 0.0092, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5403.0282, mean_absolute_error: 0.0033, 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: 0.01, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5358.0653, mean_absolute_error: 0.007, 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: 0.0211, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5378.0058, 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: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.6668, 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: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5395.7966, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9907, kappa: 0.9859, kb_relative_information_score: 5373.9954, 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: 0.0166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5394.3814, mean_absolute_error: 0.004, 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: 0.012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 463.5709, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5382.3061, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.1469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8408, kappa: 0.761, kb_relative_information_score: 3689.8628, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8718, predictive_accuracy: 0.8451, prior_entropy: 1.7151, recall: 0.8451, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5394.73, mean_absolute_error: 0.0039, 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: 0.0118, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5386.3152, mean_absolute_error: 0.0046, 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: 0.014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9711, kappa: 0.9563, kb_relative_information_score: 126.9583, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9728, predictive_accuracy: 0.9709, prior_entropy: 1.7151, recall: 0.9709, relative_absolute_error: 1.101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.08, 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: 0.1393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5358.5503, 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: 0.0209, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.3216, 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: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5436.6032, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5308.4474, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 203.012, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5390.2681, 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: 0.0133, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.608, 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: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.1389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5319.8897, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5412.5105, mean_absolute_error: 0.0025, 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: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5405.4604, mean_absolute_error: 0.0029, 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: 0.0087, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.3989, 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: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.7361, 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: 0.0613, root_relative_squared_error: 0.1507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5386.9238, 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: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 534.4417, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5426.144, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5334.8993, mean_absolute_error: 0.0109, 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: 0.0329, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9874, kappa: 0.981, kb_relative_information_score: 5248.5052, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9878, predictive_accuracy: 0.9874, prior_entropy: 1.7151, recall: 0.9874, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5369.1456, 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: 0.0618, root_relative_squared_error: 0.1519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.3709, 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: 0.0564, root_relative_squared_error: 0.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 302.3811, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0731, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5186.3213, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 428.0399, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0517, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5435.5979, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5306.8124, mean_absolute_error: 0.0132, 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: 0.0398, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5413.3328, mean_absolute_error: 0.0025, 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: 0.0076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5410.3059, 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: 0.0081, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5369.9148, mean_absolute_error: 0.0061, 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: 0.0184, 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: 0.9978, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5398.8378, mean_absolute_error: 0.0036, 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: 0.011, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.5126, 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: 0.0148, 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: 0.9997, f_measure: 0.9891, kappa: 0.9837, kb_relative_information_score: 4814.2378, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 1.7151, recall: 0.9892, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.5877, kappa: 0.4265, kb_relative_information_score: 2526.9778, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7265, predictive_accuracy: 0.6411, prior_entropy: 1.7151, recall: 0.6411, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8151,

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