OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 3586 Supervised Classification abalone 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 938.838, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 935.627, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7834, kappa: 0.5672, kb_relative_information_score: 1949.6718, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7844, predictive_accuracy: 0.7836, prior_entropy: 1, recall: 0.7836, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7679, scimark_benchmark: 922.5036, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7989, kappa: 0.5978, kb_relative_information_score: 1958.3693, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7991, predictive_accuracy: 0.7989, prior_entropy: 1, recall: 0.7989, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7437, scimark_benchmark: 952.4682, usercpu_time_millis: 322100, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 319580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 879.4299, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5005, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 928.8135, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7847, kappa: 0.5696, kb_relative_information_score: 1934.66, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 879.4299, usercpu_time_millis: 2590, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 946.9304, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7508, kappa: 0.5062, kb_relative_information_score: 2112.9616, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7623, predictive_accuracy: 0.7529, prior_entropy: 1, recall: 0.7529, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1340.2467, usercpu_time_millis: 7910, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1327.5842, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5005, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1327.5842, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1342.8632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7847, kappa: 0.5696, kb_relative_information_score: 1934.66, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 1322.5413, usercpu_time_millis: 2000, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1314.9949, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1293.6566, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1353.0836, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7989, kappa: 0.5978, kb_relative_information_score: 1958.3693, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7991, predictive_accuracy: 0.7989, prior_entropy: 1, recall: 0.7989, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7437, scimark_benchmark: 1353.0836, usercpu_time_millis: 259540, usercpu_time_millis_testing: 2630, usercpu_time_millis_training: 256910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5005, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1340.9446, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7847, kappa: 0.5696, kb_relative_information_score: 1934.66, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 1353.0836, usercpu_time_millis: 2120, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1324.9519, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1292.514, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1303.5632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1303.5632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1286.2211, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7847, kappa: 0.5696, kb_relative_information_score: 1934.66, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 1393.8432, usercpu_time_millis: 2220, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1332.9478, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1371.9645, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 932.5646, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7989, kappa: 0.5978, kb_relative_information_score: 1958.3693, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7991, predictive_accuracy: 0.7989, prior_entropy: 1, recall: 0.7989, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7437, scimark_benchmark: 1264.9916, usercpu_time_millis: 109760, usercpu_time_millis_testing: 2580, usercpu_time_millis_training: 107180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1261.7298, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7897, kappa: 0.5802, kb_relative_information_score: 2319.8963, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7922, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8682, scimark_benchmark: 1059.8591, usercpu_time_millis: 560, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7947, kappa: 0.5897, kb_relative_information_score: 1722.6015, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7956, predictive_accuracy: 0.7948, prior_entropy: 1, recall: 0.7948, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7636, scimark_benchmark: 1328.1857, usercpu_time_millis: 2470, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 926.6704, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5005, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1315.933, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7847, kappa: 0.5696, kb_relative_information_score: 1934.66, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 1315.933, usercpu_time_millis: 1990, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1313.5052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7344, kappa: 0.4711, kb_relative_information_score: 1956.5677, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1335.643, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7797, kappa: 0.5595, kb_relative_information_score: 1834.8835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1335.643, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1334.6745, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1355.2525, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.79, kappa: 0.5801, kb_relative_information_score: 1874.3753, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7902, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7658, scimark_benchmark: 1151.6869, usercpu_time_millis: 102150, usercpu_time_millis_testing: 102150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1328.941, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1350.2369, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7792, kappa: 0.5586, kb_relative_information_score: 1772.7351, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.78, predictive_accuracy: 0.7793, prior_entropy: 1, recall: 0.7793, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7801, scimark_benchmark: 916.6405, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7814, kappa: 0.5629, kb_relative_information_score: 2335.0542, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7818, predictive_accuracy: 0.7814, prior_entropy: 1, recall: 0.7814, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9035, scimark_benchmark: 1335.5424, usercpu_time_millis: 1980, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1862.407, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7781, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7747, scimark_benchmark: 854.5188, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 883.2709, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7872, kappa: 0.5747, kb_relative_information_score: 2400.967, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7884, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1322.4968, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7862, kappa: 0.5724, kb_relative_information_score: 1880.5945, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7863, predictive_accuracy: 0.7862, prior_entropy: 1, recall: 0.7862, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7622, scimark_benchmark: 1316.6866, usercpu_time_millis: 10660, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 9970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 932.5646, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7848, kappa: 0.5695, kb_relative_information_score: 2378.9665, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7848, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9279, scimark_benchmark: 1358.4523, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.752, kappa: 0.504, kb_relative_information_score: 1463.3504, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8399, scimark_benchmark: 1064.8317, usercpu_time_millis: 34220, usercpu_time_millis_testing: 34220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.722, kappa: 0.4441, kb_relative_information_score: 1854.2448, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7221, predictive_accuracy: 0.722, prior_entropy: 1, recall: 0.722, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0541, scimark_benchmark: 896.937, usercpu_time_millis: 780, usercpu_time_millis_testing: 780,

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