OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 2075 Supervised Classification abalone 3870 runs submitted
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  • at2 study_1 study_107 study_14 study_41 study_7 study_70 under100k under1m
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3870 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.1904, kappa: 0.0957, kb_relative_information_score: 830.0538, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1892, predictive_accuracy: 0.1918, prior_entropy: 3.6268, recall: 0.1918, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2009, root_relative_squared_error: 1.1431, scimark_benchmark: 1463.311, usercpu_time_millis: 7910, usercpu_time_millis_testing: 7890, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.1999, kappa: 0.1069, kb_relative_information_score: 630.2114, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2006, predictive_accuracy: 0.1994, prior_entropy: 3.6268, recall: 0.1994, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.3367, scimark_benchmark: 1459.0202, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.1935, kappa: 0.103, kb_relative_information_score: 652.6725, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1818, predictive_accuracy: 0.2133, prior_entropy: 3.6268, recall: 0.2133, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.3255, scimark_benchmark: 1573.9597, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.2117, kappa: 0.1461, kb_relative_information_score: 970.2857, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2019, predictive_accuracy: 0.2463, prior_entropy: 3.6268, recall: 0.2463, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.18, root_relative_squared_error: 1.0245, scimark_benchmark: 1355.7336, usercpu_time_millis: 530, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.2142, kappa: 0.1212, kb_relative_information_score: 651.8092, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2117, predictive_accuracy: 0.2191, prior_entropy: 3.6268, recall: 0.2191, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1831, root_relative_squared_error: 1.0418, scimark_benchmark: 1434.7737, usercpu_time_millis: 62460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 62440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.1885, kappa: 0.0937, kb_relative_information_score: 575.2724, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1878, predictive_accuracy: 0.1894, prior_entropy: 3.6268, recall: 0.1894, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2355, root_relative_squared_error: 1.3404, scimark_benchmark: 1476.2932, usercpu_time_millis: 1530, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.2157, kappa: 0.1518, kb_relative_information_score: 1020.309, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1954, predictive_accuracy: 0.2545, prior_entropy: 3.6268, recall: 0.2545, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1787, root_relative_squared_error: 1.0169, scimark_benchmark: 1527.7917, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.2282, kappa: 0.1453, kb_relative_information_score: 972.91, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2207, predictive_accuracy: 0.2511, prior_entropy: 3.6268, recall: 0.2511, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.9653, scimark_benchmark: 1512.2818, usercpu_time_millis: 34260, usercpu_time_millis_testing: 34250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.2099, kappa: 0.1452, kb_relative_information_score: 970.904, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1932, predictive_accuracy: 0.2456, prior_entropy: 3.6268, recall: 0.2456, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1796, root_relative_squared_error: 1.0219, scimark_benchmark: 1306.3647, usercpu_time_millis: 2250, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.2161, kappa: 0.1249, kb_relative_information_score: 966.8895, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2109, predictive_accuracy: 0.225, prior_entropy: 3.6268, recall: 0.225, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0313, scimark_benchmark: 1560.9816, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.1338, kappa: 0.0933, kb_relative_information_score: 573.944, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1304, predictive_accuracy: 0.2183, prior_entropy: 3.6268, recall: 0.2183, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.981, scimark_benchmark: 1454.2189, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.2112, kappa: 0.1201, kb_relative_information_score: 650.7154, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.224, predictive_accuracy: 0.2341, prior_entropy: 3.6268, recall: 0.2341, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.9743, scimark_benchmark: 1372.8339, usercpu_time_millis: 17730, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 17620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.0881, kappa: 0.0782, kb_relative_information_score: 577.335, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.056, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.218, kappa: 0.1262, kb_relative_information_score: 981.7685, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2127, predictive_accuracy: 0.2258, prior_entropy: 3.6268, recall: 0.2258, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1779, root_relative_squared_error: 1.0126, scimark_benchmark: 1532.2846, usercpu_time_millis: 1460, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2537, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 6.659, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.2207, kappa: 0.1302, kb_relative_information_score: 817.7635, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2153, predictive_accuracy: 0.2279, prior_entropy: 3.6268, recall: 0.2279, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.131, scimark_benchmark: 1457.4723, usercpu_time_millis: 2550, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.2391, kappa: 0.1597, kb_relative_information_score: 1001.3372, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2246, predictive_accuracy: 0.2669, prior_entropy: 3.6268, recall: 0.2669, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.168, root_relative_squared_error: 0.956, scimark_benchmark: 1309.1507, usercpu_time_millis: 8620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.2388, kappa: 0.1608, kb_relative_information_score: 968.5957, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2354, predictive_accuracy: 0.2648, prior_entropy: 3.6268, recall: 0.2648, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9591, scimark_benchmark: 1277.1939, usercpu_time_millis: 1250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.2425, kappa: 0.1593, kb_relative_information_score: 980.9499, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2405, predictive_accuracy: 0.2655, prior_entropy: 3.6268, recall: 0.2655, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.9571, scimark_benchmark: 1399.6575, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.2184, kappa: 0.1274, kb_relative_information_score: 1003.3255, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2127, predictive_accuracy: 0.227, prior_entropy: 3.6268, recall: 0.227, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1817, root_relative_squared_error: 1.034, scimark_benchmark: 1471.0868, usercpu_time_millis: 440, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.2333, kappa: 0.1556, kb_relative_information_score: 960.0416, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2274, predictive_accuracy: 0.2595, prior_entropy: 3.6268, recall: 0.2595, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.9595, scimark_benchmark: 1546.7038, usercpu_time_millis: 1520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 1.1651, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1, scimark_benchmark: 1530.3296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.2305, kappa: 0.1549, kb_relative_information_score: 999.2517, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2217, predictive_accuracy: 0.2593, prior_entropy: 3.6268, recall: 0.2593, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9588, scimark_benchmark: 1433.2606, usercpu_time_millis: 2940, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.2066, kappa: 0.1138, kb_relative_information_score: 644.4483, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2066, predictive_accuracy: 0.2068, prior_entropy: 3.6268, recall: 0.2068, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2334, root_relative_squared_error: 1.3281, scimark_benchmark: 1429.0366, usercpu_time_millis: 342760, usercpu_time_millis_testing: 342760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.2058, kappa: 0.1132, kb_relative_information_score: 773.9701, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2051, predictive_accuracy: 0.2066, prior_entropy: 3.6268, recall: 0.2066, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2142, root_relative_squared_error: 1.2188, scimark_benchmark: 1455.9009, usercpu_time_millis: 842370, usercpu_time_millis_testing: 842370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 1447.8256, usercpu_time_millis: 54940, usercpu_time_millis_testing: 54940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.2098, kappa: 0.1257, kb_relative_information_score: 926.4842, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1952, predictive_accuracy: 0.2387, prior_entropy: 3.6268, recall: 0.2387, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1897, root_relative_squared_error: 1.0793, scimark_benchmark: 1458.9625, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.1351, kappa: 0.0992, kb_relative_information_score: 660.1761, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.124, predictive_accuracy: 0.2229, prior_entropy: 3.6268, recall: 0.2229, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.976, scimark_benchmark: 1361.8942, usercpu_time_millis: 459570, usercpu_time_millis_testing: 459560, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.2328, kappa: 0.1442, kb_relative_information_score: 1036.4636, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2276, predictive_accuracy: 0.2408, prior_entropy: 3.6268, recall: 0.2408, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.9806, scimark_benchmark: 1443.7614, usercpu_time_millis: 334900, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 334640,

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