OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 4 Supervised Classification labor 6416 runs submitted
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6416 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8223, kappa: 0.6058, kb_relative_information_score: 29.3144, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8222, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7103, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.7011, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.609, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.747, kappa: 0.4348, kb_relative_information_score: 24.29, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7479, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0201, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 35.2657, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8178, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.0457, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.0457, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 50.0406, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4103, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 50.0406, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4103, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8223, kappa: 0.6058, kb_relative_information_score: 29.3144, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8222, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7103, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.0457, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.747, kappa: 0.4348, kb_relative_information_score: 24.29, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7479, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0201, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7357, kappa: 0.4063, kb_relative_information_score: 25.0629, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7536, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0384, scimark_benchmark: 1600.256, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 49.9501, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4807, scimark_benchmark: 1600.256, usercpu_time_millis: 3.085, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 1600.256, usercpu_time_millis: 0.401, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1600.256, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 21.1071, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8964, scimark_benchmark: 1094.0306, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 21.1071, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8964, scimark_benchmark: 1094.0306, usercpu_time_millis: 7.885, usercpu_time_millis_testing: 1.648, usercpu_time_millis_training: 6.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8193, kappa: 0.5963, kb_relative_information_score: 25.2004, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8234, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8247, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 32.8704, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6514, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 40.5327, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5886, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 27.2631, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6962, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 42.9502, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4804, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.7011, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.609, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 42.9502, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4804, scimark_benchmark: 937.5117, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.7011, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.609, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8193, kappa: 0.5963, kb_relative_information_score: 25.2004, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8234, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8247, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 32.8704, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6514, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 40.5327, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5886, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 730.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 938.1282,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.7011, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.609, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8193, kappa: 0.5963, kb_relative_information_score: 25.2004, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8234, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8247, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8193, kappa: 0.5963, kb_relative_information_score: 25.2004, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8234, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8247, scimark_benchmark: 1309.4998,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 42.3974, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5506, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 44.0304, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2, root_relative_squared_error: 0.419, scimark_benchmark: 1350.2591, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.7011, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.609, scimark_benchmark: 1374.9737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 41.3572, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5748, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 44.0304, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2, root_relative_squared_error: 0.419, scimark_benchmark: 1306.8702, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 42.3974, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5506, scimark_benchmark: 1342.2845,

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