OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20884 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

20884 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: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 0.9891, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9706, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0353, root_relative_squared_error: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9884, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9822, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9883, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.1642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 0.992, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, recall: 0.9941, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.978, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9883, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7874, recall: 0.9845, relative_absolute_error: 0.0247, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9896, kb_relative_information_score: 0.9684, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 0.9816, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9859, predictive_accuracy: 0.9857, prior_entropy: 1.7874, recall: 0.9857, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9852, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9883, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0028, kb_relative_information_score: 0.0635, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.2961, prior_entropy: 1.7874, recall: 0.2961, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.2693, kappa: -0.0041, kb_relative_information_score: 0.0544, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3087, predictive_accuracy: 0.2889, prior_entropy: 1.7874, recall: 0.2889, relative_absolute_error: 1.0339, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9819, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9859, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.9793, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9873, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,

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