OpenML
Supervised Classification on disclosure_z

Supervised Classification on disclosure_z

Task 3794 Supervised Classification disclosure_z 585 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5007, kappa: -0.0018, kb_relative_information_score: 1.5626, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5004, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0452, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5366, kappa: 0.0722, kb_relative_information_score: 13.2891, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5381, predictive_accuracy: 0.5408, prior_entropy: 0.9981, recall: 0.5408, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9984, scimark_benchmark: 1347.993, usercpu_time_millis: 680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5106, kappa: 0.0181, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5104, predictive_accuracy: 0.5121, prior_entropy: 0.9981, recall: 0.5121, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 1281.7531, usercpu_time_millis: 300, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5366, kappa: 0.0722, kb_relative_information_score: 13.2891, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5381, predictive_accuracy: 0.5408, prior_entropy: 0.9981, recall: 0.5408, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9984, scimark_benchmark: 1264.9916, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5106, kappa: 0.0181, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5104, predictive_accuracy: 0.5121, prior_entropy: 0.9981, recall: 0.5121, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 1352.1128, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5252, kappa: 0.0553, kb_relative_information_score: 6.5336, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5294, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0397, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1313.5052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5007, kappa: -0.0018, kb_relative_information_score: 1.5626, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5004, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0452, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5106, kappa: 0.0181, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5104, predictive_accuracy: 0.5121, prior_entropy: 0.9981, recall: 0.5121, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 1311.9814, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4865, kappa: -0.0248, kb_relative_information_score: -2.3829, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4888, predictive_accuracy: 0.4864, prior_entropy: 0.9981, recall: 0.4864, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.0696, scimark_benchmark: 1064.8317, usercpu_time_millis: 3540, usercpu_time_millis_testing: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5252, kappa: 0.0553, kb_relative_information_score: 6.5336, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5294, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0397, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.5565, kappa: 0.1194, kb_relative_information_score: 75.137, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5623, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6459, root_relative_squared_error: 1.2935, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5252, kappa: 0.0553, kb_relative_information_score: 6.5336, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5294, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0397, scimark_benchmark: 1318.8785, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 1317.0962, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.543, kappa: 0.0847, kb_relative_information_score: 14.9659, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5444, predictive_accuracy: 0.5468, prior_entropy: 0.9981, recall: 0.5468, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9982, scimark_benchmark: 1330.0694, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.5337, kappa: 0.065, kb_relative_information_score: 15.7533, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5341, predictive_accuracy: 0.5363, prior_entropy: 0.9981, recall: 0.5363, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9994, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5396, kappa: 0.0763, kb_relative_information_score: 11.3505, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5395, predictive_accuracy: 0.5408, prior_entropy: 0.9981, recall: 0.5408, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0565, scimark_benchmark: 942.6843, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.5227, kappa: 0.0432, kb_relative_information_score: 17.8754, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5232, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0162, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5192, kappa: 0.0352, kb_relative_information_score: 17.0016, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5189, predictive_accuracy: 0.5196, prior_entropy: 0.9981, recall: 0.5196, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0123, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5173, kappa: 0.0319, kb_relative_information_score: 5.1266, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5174, predictive_accuracy: 0.5196, prior_entropy: 0.9981, recall: 0.5196, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0262, scimark_benchmark: 1368.9272, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5054, kappa: 0.0079, kb_relative_information_score: 2.9204, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5053, predictive_accuracy: 0.5076, prior_entropy: 0.9981, recall: 0.5076, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0307, scimark_benchmark: 924.3698, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, f_measure: 0.5248, kappa: 0.0465, kb_relative_information_score: 12.6372, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5246, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0062, scimark_benchmark: 1280.6952, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.5236, kappa: 0.0442, kb_relative_information_score: 9.0922, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5234, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0055, scimark_benchmark: 935.5075, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.5363, kappa: 0.0696, kb_relative_information_score: 8.2611, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5362, predictive_accuracy: 0.5378, prior_entropy: 0.9981, recall: 0.5378, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0044, scimark_benchmark: 1287.514, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.5139, kappa: 0.0264, kb_relative_information_score: 3.0991, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5145, predictive_accuracy: 0.5136, prior_entropy: 0.9981, recall: 0.5136, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.007, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4885, kappa: -0.0159, kb_relative_information_score: -0.9721, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4932, predictive_accuracy: 0.4894, prior_entropy: 0.9981, recall: 0.4894, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0084, scimark_benchmark: 876.0664, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.5023, kappa: 0.0014, kb_relative_information_score: -5.9362, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.502, predictive_accuracy: 0.503, prior_entropy: 0.9981, recall: 0.503, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0958, scimark_benchmark: 1442.7264, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4832, f_measure: 0.4816, kappa: -0.0398, kb_relative_information_score: -13.1199, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4815, predictive_accuracy: 0.4819, prior_entropy: 0.9981, recall: 0.4819, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.585, root_relative_squared_error: 1.1715, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3745, kappa: -0.0014, kb_relative_information_score: 29.6027, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4918, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6898, root_relative_squared_error: 1.3814, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792, scimark_benchmark: 1333.5799, usercpu_time_millis: 330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5355, kappa: 0.0831, kb_relative_information_score: 63.7317, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5471, predictive_accuracy: 0.5498, prior_entropy: 0.9981, recall: 0.5498, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6709, root_relative_squared_error: 1.3436, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.5554, kappa: 0.1109, kb_relative_information_score: 14.3473, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5582, predictive_accuracy: 0.5604, prior_entropy: 0.9981, recall: 0.5604, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9942, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.4692, kappa: 0.0027, kb_relative_information_score: 19.5648, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5033, predictive_accuracy: 0.5166, prior_entropy: 0.9981, recall: 0.5166, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.3924, scimark_benchmark: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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