OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 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:

23487 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: 0.9826, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 811.3209, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9766, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.109, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 835.1872, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, 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: 0.9364, f_measure: 0.8726, kappa: 0.8147, kb_relative_information_score: 685.7492, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8738, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5716, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 828.9776, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1347, scimark_benchmark: 1151.3778, usercpu_time_millis: 660, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.7769, kappa: 0.7161, kb_relative_information_score: 461.8971, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7509, predictive_accuracy: 0.8121, prior_entropy: 1.7898, recall: 0.8121, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6804, scimark_benchmark: 760.954, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.4166, kappa: 0.3393, kb_relative_information_score: 86.254, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3378, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9701, scimark_benchmark: 699.1864, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7874, kappa: 0.7273, kb_relative_information_score: 478.6947, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7613, predictive_accuracy: 0.8181, prior_entropy: 1.7898, recall: 0.8181, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6697, scimark_benchmark: 1013.446, usercpu_time_millis: 1620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 822.6616, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1922, scimark_benchmark: 954.6278, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9248, kappa: 0.8907, kb_relative_information_score: 726.6458, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9254, predictive_accuracy: 0.9251, prior_entropy: 1.7898, recall: 0.9251, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4368, scimark_benchmark: 1090.1394, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 830.0627, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1019, scimark_benchmark: 918.7458, usercpu_time_millis: 980, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 826.3585, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1091, scimark_benchmark: 1293.1292, usercpu_time_millis: 690, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 832.3766, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.044, root_relative_squared_error: 0.106, scimark_benchmark: 1111.6331, usercpu_time_millis: 690, usercpu_time_millis_testing: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.963, kappa: 0.9465, kb_relative_information_score: 638.5748, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9636, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 37.3571, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4187, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9452, kappa: 0.9204, kb_relative_information_score: 86.5047, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9237, kappa: 0.8891, kb_relative_information_score: 730.2814, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9466, kappa: 0.9221, kb_relative_information_score: 777.2772, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9472, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 818.126, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 812.4434, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.1647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 748.2639, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9578, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.3241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9298, kappa: 0.898, kb_relative_information_score: 737.109, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.93, predictive_accuracy: 0.9298, prior_entropy: 1.7898, recall: 0.9298, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0017, kb_relative_information_score: 1.767, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9749, kappa: 0.9636, kb_relative_information_score: 743.8878, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 723.3799, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9648, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 817.2262, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9608, kappa: 0.9431, kb_relative_information_score: 786.9075, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9621, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 817.6561, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.7877, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 438.1855, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.2646, kappa: 0.0322, kb_relative_information_score: 149.563, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5229, predictive_accuracy: 0.2901, prior_entropy: 1.7898, recall: 0.2901, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.4958, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 659.4861, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9702, kappa: 0.9566, kb_relative_information_score: 744.9376, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9333, kappa: 0.9031, kb_relative_information_score: 723.1403, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9346, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9452, kappa: 0.9206, kb_relative_information_score: 713.7398, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.95, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.16, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 1.6025, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.1448, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9618, kappa: 0.9446, kb_relative_information_score: 763.8754, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 818.7747, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9703, kappa: 0.9566, kb_relative_information_score: 696.4201, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9639, kappa: 0.948, kb_relative_information_score: 786.1678, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.965, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9691, kappa: 0.9552, kb_relative_information_score: 791.1859, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9698, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 755.9314, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9679, kappa: 0.9533, kb_relative_information_score: 750.1813, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9684, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 738.6271, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.7249, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.9854, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 707.1113, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9715, kappa: 0.9586, kb_relative_information_score: 771.3034, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9723, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 725.7011, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9749, kappa: 0.9636, kb_relative_information_score: 730.4283, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9757, kb_relative_information_score: 673.3771, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9427, kappa: 0.9169, kb_relative_information_score: 736.4574, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9436, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 815.1279, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9547, kappa: 0.934, kb_relative_information_score: 693.8574, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9552, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9643, kappa: 0.9483, kb_relative_information_score: 790.1998, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9654, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 359.6841, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 694.5832, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 677.2671, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0071, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 751.3914, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.8609, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 712.5649, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9464, kappa: 0.9222, kb_relative_information_score: 85.7398, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 689.6043, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 727.5313, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kb_relative_information_score: 1.6311, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9428, kb_relative_information_score: 728.388, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9612, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 819.3484, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: 0.0006, kb_relative_information_score: 1.832, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9416, kappa: 0.9152, kb_relative_information_score: 85.4355, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, kappa: 0.0059, kb_relative_information_score: 9.4299, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3805, prior_entropy: 1.7898, recall: 0.3805, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9797, kappa: 0.9705, kb_relative_information_score: 739.6914, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, kb_relative_information_score: 1.6871, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 714.413, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 819.8875, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9547, kappa: 0.9341, kb_relative_information_score: 710.3411, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9552, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9288, kappa: 0.8963, kb_relative_information_score: 756.6462, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9289, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.962, kappa: 0.9446, kb_relative_information_score: 791.8799, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.4735, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9336, kappa: 0.9033, kb_relative_information_score: 85.2335, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9339, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 732.8201, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.3529, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, kappa: 0.1525, kb_relative_information_score: 108.4542, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4495, prior_entropy: 1.7898, recall: 0.4495, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 822.9578, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 820.9587, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9559, kappa: 0.9358, kb_relative_information_score: 716.7157, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9564, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 692.2061, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 746.5423, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9649, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9679, kappa: 0.9532, kb_relative_information_score: 738.8476, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 284.4332, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 809.8222, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.1699,

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