OpenML
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 1821 Supervised Classification ionosphere 357 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1373.7859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 1343.3311, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1350.007, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.898, kappa: 0.7771, kb_relative_information_score: 1350.9987, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.898, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6438, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 940.3347, usercpu_time_millis: 1620, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 1322.7257, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 938.0414, usercpu_time_millis: 3560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 1350.2369, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.898, kappa: 0.7771, kb_relative_information_score: 1350.9987, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.898, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6438, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9205, kappa: 0.8256, kb_relative_information_score: 1199.4136, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9218, predictive_accuracy: 0.9214, prior_entropy: 0.9425, recall: 0.9214, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9195, kappa: 0.8231, kb_relative_information_score: 1433.5997, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9223, predictive_accuracy: 0.9208, prior_entropy: 0.9425, recall: 0.9208, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5535, scimark_benchmark: 1260.1387, usercpu_time_millis: 280, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1347.917, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 1345.7204, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 1064.8317, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.892, kappa: 0.7636, kb_relative_information_score: 1247.8836, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8923, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6055, scimark_benchmark: 1337.446, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.892, kappa: 0.7636, kb_relative_information_score: 1247.8836, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8923, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6055, scimark_benchmark: 1345.3152, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.892, kappa: 0.7636, kb_relative_information_score: 1247.8836, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8923, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6055, scimark_benchmark: 894.7222, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.898, kappa: 0.7771, kb_relative_information_score: 1350.9987, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.898, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6438, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 916.5769, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.892, kappa: 0.7636, kb_relative_information_score: 1247.8836, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8923, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6055, scimark_benchmark: 885.0921, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8324, kappa: 0.6462, kb_relative_information_score: 1074.1968, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8447, predictive_accuracy: 0.8296, prior_entropy: 0.9425, recall: 0.8296, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8213, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.8548, kappa: 0.6781, kb_relative_information_score: 1196.7769, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8723, predictive_accuracy: 0.8615, prior_entropy: 0.9425, recall: 0.8615, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7714, scimark_benchmark: 1339.4189, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9184, kappa: 0.8214, kb_relative_information_score: 121.8339, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9027, scimark_benchmark: 1321.6263, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5008, kb_relative_information_score: -1.7887, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4797, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8812, kappa: 0.7402, kb_relative_information_score: 1173.1746, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8812, predictive_accuracy: 0.8821, prior_entropy: 0.9425, recall: 0.8821, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6831, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7865, kappa: 0.5279, kb_relative_information_score: 717.1662, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8346, predictive_accuracy: 0.8057, prior_entropy: 0.9425, recall: 0.8057, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8155, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8845, kappa: 0.7493, kb_relative_information_score: 1284.3097, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8846, predictive_accuracy: 0.8843, prior_entropy: 0.9425, recall: 0.8843, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6737, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9195, kappa: 0.823, kb_relative_information_score: 1117.1268, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9224, predictive_accuracy: 0.9208, prior_entropy: 0.9425, recall: 0.9208, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5574, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9134, kappa: 0.8095, kb_relative_information_score: 1109.9106, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9174, predictive_accuracy: 0.9151, prior_entropy: 0.9425, recall: 0.9151, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5653, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9173, kappa: 0.8182, kb_relative_information_score: 1393.1512, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9198, predictive_accuracy: 0.9185, prior_entropy: 0.9425, recall: 0.9185, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5407, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9171, kappa: 0.8184, kb_relative_information_score: 1349.436, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9181, predictive_accuracy: 0.9179, prior_entropy: 0.9425, recall: 0.9179, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5386, scimark_benchmark: 937.1527, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9135, kappa: 0.8104, kb_relative_information_score: 1187.7202, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9148, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5491, scimark_benchmark: 1404.1865, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.913, kappa: 0.8093, kb_relative_information_score: 1190.9929, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.9425, recall: 0.914, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5504, scimark_benchmark: 1339.3974, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8952, kappa: 0.7697, kb_relative_information_score: 1306.5552, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8974, predictive_accuracy: 0.8969, prior_entropy: 0.9425, recall: 0.8969, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6417, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9259, kappa: 0.8372, kb_relative_information_score: 1456.0245, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9287, predictive_accuracy: 0.9271, prior_entropy: 0.9425, recall: 0.9271, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5381, scimark_benchmark: 1325.2092, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.927, kappa: 0.8396, kb_relative_information_score: 1441.9624, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.93, predictive_accuracy: 0.9282, prior_entropy: 0.9425, recall: 0.9282, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.525, scimark_benchmark: 942.6843, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9105, kappa: 0.8029, kb_relative_information_score: 1368.7221, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9147, predictive_accuracy: 0.9123, prior_entropy: 0.9425, recall: 0.9123, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5475, scimark_benchmark: 1372.2145, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9069, kappa: 0.7949, kb_relative_information_score: 1294.4039, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9115, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5602, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8952, kappa: 0.7686, kb_relative_information_score: 1190.7857, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9024, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5923, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8287, kappa: 0.6201, kb_relative_information_score: 1069.6985, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.856, predictive_accuracy: 0.8393, prior_entropy: 0.9425, recall: 0.8393, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7334, scimark_benchmark: 930.5999, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8393, kappa: 0.6435, kb_relative_information_score: 1131.5339, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8636, predictive_accuracy: 0.8484, prior_entropy: 0.9425, recall: 0.8484, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7212, scimark_benchmark: 1363.454, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7386, kappa: 0.4508, kb_relative_information_score: 704.2162, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.754, predictive_accuracy: 0.7339, prior_entropy: 0.9425, recall: 0.7339, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0754, scimark_benchmark: 1313.9994, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.5554, kappa: 0.0878, kb_relative_information_score: 436.7728, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.7805, predictive_accuracy: 0.6661, prior_entropy: 0.9425, recall: 0.6661, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.2046, scimark_benchmark: 1372.2145, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8683, kappa: 0.7082, kb_relative_information_score: 1254.8349, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.882, predictive_accuracy: 0.8735, prior_entropy: 0.9425, recall: 0.8735, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7414, scimark_benchmark: 944.5495, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8701, kappa: 0.7126, kb_relative_information_score: 1035.7609, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8808, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.675, scimark_benchmark: 944.4621, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8536, kappa: 0.676, kb_relative_information_score: 1198.6493, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8654, predictive_accuracy: 0.8593, prior_entropy: 0.9425, recall: 0.8593, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7821, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 1324.8395, usercpu_time_millis: 2740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1304.9611, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 825.5282, usercpu_time_millis: 1670, usercpu_time_millis_training: 1670,

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

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From your own software

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

OpenML APIs