OpenML
Supervised Classification on baseball

Supervised Classification on baseball

Task 2077 Supervised Classification baseball 770 runs submitted
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  • at2 study_1 study_107 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9241, kappa: 0.539, kb_relative_information_score: 480.7212, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9228, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.183, root_relative_squared_error: 0.7611, scimark_benchmark: 1220.7348, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8624, kb_relative_information_score: 147.5999, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8818, scimark_benchmark: 1364.5326, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.9, kappa: 0.3805, kb_relative_information_score: 455.6939, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8914, predictive_accuracy: 0.9179, prior_entropy: 0.5456, recall: 0.9179, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.9728, scimark_benchmark: 1364.1349, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1521.9966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.885, kappa: 0.4642, kb_relative_information_score: -0.9993, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9284, predictive_accuracy: 0.8597, prior_entropy: 0.5456, recall: 0.8597, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.1771, scimark_benchmark: 1452.3973, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1285.0587, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1488.9247, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1342.7779, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1251.4541, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1325.391, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1422.0604, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1263.4866, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1325.897, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1349.5623, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1390.2989, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1342.4685, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1278.2491, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1428.0878, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1282.438, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1352.6251, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1360.2117, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1368.0128, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1296.2663, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1379.1552, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9162, kappa: 0.5258, kb_relative_information_score: -4791.7282, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9153, predictive_accuracy: 0.9313, prior_entropy: 0.5456, recall: 0.9313, relative_absolute_error: 3.0857, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3887, root_relative_squared_error: 1.6163, scimark_benchmark: 1404.8239, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.923, kappa: 0.5399, kb_relative_information_score: 527.6114, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9188, predictive_accuracy: 0.9328, prior_entropy: 0.5456, recall: 0.9328, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.183, root_relative_squared_error: 0.7609, scimark_benchmark: 1356.4106, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9311, kappa: 0.5895, kb_relative_information_score: 536.4151, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9278, predictive_accuracy: 0.9396, prior_entropy: 0.5456, recall: 0.9396, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.7437, scimark_benchmark: 1399.8099, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9295, kappa: 0.5634, kb_relative_information_score: 512.8365, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9281, predictive_accuracy: 0.9388, prior_entropy: 0.5456, recall: 0.9388, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.7383, scimark_benchmark: 1610.6692, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9221, kappa: 0.5326, kb_relative_information_score: 617.921, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9176, predictive_accuracy: 0.9291, prior_entropy: 0.5456, recall: 0.9291, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8174, scimark_benchmark: 1445.4171, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.9305, kappa: 0.588, kb_relative_information_score: 660.9209, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9277, predictive_accuracy: 0.9343, prior_entropy: 0.5456, recall: 0.9343, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.8459, scimark_benchmark: 1454.4004, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8624, kb_relative_information_score: 147.1837, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8824, scimark_benchmark: 1586.6457, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9108, kappa: 0.4737, kb_relative_information_score: 396.7245, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9088, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.8428, scimark_benchmark: 1402.5802, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.8828, kappa: 0.2944, kb_relative_information_score: 204.1781, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8608, predictive_accuracy: 0.906, prior_entropy: 0.5456, recall: 0.906, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9236, scimark_benchmark: 1600.0848, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1472.9687, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9196, kappa: 0.5179, kb_relative_information_score: 616.8874, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9153, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.8287, scimark_benchmark: 1387.51, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.8715, kappa: 0.1041, kb_relative_information_score: 330.2309, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8635, predictive_accuracy: 0.909, prior_entropy: 0.5456, recall: 0.909, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2464, root_relative_squared_error: 1.0245, scimark_benchmark: 1485.3774, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.9113, kappa: 0.4723, kb_relative_information_score: 535.5604, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9095, predictive_accuracy: 0.9246, prior_entropy: 0.5456, recall: 0.9246, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9322, scimark_benchmark: 1350.9551, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.903, kappa: 0.432, kb_relative_information_score: -4931.3216, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9291, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 3.196, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.6679, scimark_benchmark: 1657.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9074, kappa: 0.3957, kb_relative_information_score: 522.2011, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9071, predictive_accuracy: 0.9246, prior_entropy: 0.5456, recall: 0.9246, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.7853, scimark_benchmark: 1567.6477, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.9137, kappa: 0.4508, kb_relative_information_score: 486.6231, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9114, predictive_accuracy: 0.9276, prior_entropy: 0.5456, recall: 0.9276, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.7905, scimark_benchmark: 1446.1728, usercpu_time_millis: 390, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.9192, kappa: 0.5157, kb_relative_information_score: 538.0794, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9166, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9414, scimark_benchmark: 1411.6463, usercpu_time_millis: 460, usercpu_time_millis_testing: 460,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.9269, kappa: 0.5507, kb_relative_information_score: 486.8264, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9247, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.777, scimark_benchmark: 1677.2053, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.9124, kappa: 0.4923, kb_relative_information_score: 438.4059, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9131, predictive_accuracy: 0.9119, prior_entropy: 0.5456, recall: 0.9119, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2418, root_relative_squared_error: 1.0055, scimark_benchmark: 1646.8415, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.9124, kappa: 0.4923, kb_relative_information_score: 438.4059, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9131, predictive_accuracy: 0.9119, prior_entropy: 0.5456, recall: 0.9119, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2418, root_relative_squared_error: 1.0055, scimark_benchmark: 1526.9542, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1447.4576, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9261, kappa: 0.5512, kb_relative_information_score: 479.6701, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9226, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7955, scimark_benchmark: 1509.5612, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9261, kappa: 0.5512, kb_relative_information_score: 479.6701, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9226, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7955, scimark_benchmark: 1552.5842, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.929, kappa: 0.5705, kb_relative_information_score: 550.8428, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8105, scimark_benchmark: 1650.241, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9298, kappa: 0.576, kb_relative_information_score: 512.5154, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9265, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.7259, scimark_benchmark: 1345.058, usercpu_time_millis: 260, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9163, kappa: 0.5201, kb_relative_information_score: 477.0308, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9162, predictive_accuracy: 0.9164, prior_entropy: 0.5456, recall: 0.9164, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9188, scimark_benchmark: 1435.6727, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.87, kappa: 0.4172, kb_relative_information_score: -122.3351, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9229, predictive_accuracy: 0.8388, prior_entropy: 0.5456, recall: 0.8388, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3085, root_relative_squared_error: 1.2827, scimark_benchmark: 1698.0528, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9221, kappa: 0.523, kb_relative_information_score: 452.7926, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9186, predictive_accuracy: 0.9328, prior_entropy: 0.5456, recall: 0.9328, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.7921, scimark_benchmark: 1528.3242, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9299, kappa: 0.5779, kb_relative_information_score: 512.7929, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9265, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.7258, scimark_benchmark: 1369.6526, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.87, kappa: 0.4172, kb_relative_information_score: -122.3351, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9229, predictive_accuracy: 0.8388, prior_entropy: 0.5456, recall: 0.8388, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3085, root_relative_squared_error: 1.2827, scimark_benchmark: 1493.313, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.9263, kappa: 0.5686, kb_relative_information_score: 574.9059, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9228, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.8148, scimark_benchmark: 1407.0012, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8624, kb_relative_information_score: 273.6664, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8639, scimark_benchmark: 1389.0888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1427.04, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9328, kappa: 0.6051, kb_relative_information_score: 582.9432, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.93, predictive_accuracy: 0.9388, prior_entropy: 0.5456, recall: 0.9388, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.729, scimark_benchmark: 1371.8318, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9296, kappa: 0.5742, kb_relative_information_score: 508.6819, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9263, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.728, scimark_benchmark: 1539.4946, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.9124, kappa: 0.4923, kb_relative_information_score: 438.4059, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9131, predictive_accuracy: 0.9119, prior_entropy: 0.5456, recall: 0.9119, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2418, root_relative_squared_error: 1.0055, scimark_benchmark: 1684.0967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9261, kappa: 0.5512, kb_relative_information_score: 479.6701, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9226, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7955, scimark_benchmark: 1505.4374, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.9192, kappa: 0.5157, kb_relative_information_score: 532.8899, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9166, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9402, scimark_benchmark: 1590.4867, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.9309, kappa: 0.5818, kb_relative_information_score: 589.0361, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.928, predictive_accuracy: 0.9366, prior_entropy: 0.5456, recall: 0.9366, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.8383, scimark_benchmark: 1694.1316, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.929, kappa: 0.5705, kb_relative_information_score: 550.8428, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8105, scimark_benchmark: 1642.8961, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.8989, kappa: 0.3723, kb_relative_information_score: 442.6953, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8897, predictive_accuracy: 0.9164, prior_entropy: 0.5456, recall: 0.9164, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9816, scimark_benchmark: 1526.9034, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1474.6569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).

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Timeline

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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

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Use one of our APIs to download data from OpenML and upload your results

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