OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 283 Supervised Classification vehicle 338 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6437, kappa: 0.5476, kb_relative_information_score: 148.671, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6581, predictive_accuracy: 0.6667, prior_entropy: 1.9991, recall: 0.6667, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7697, scimark_benchmark: 851.2074, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 916.0735, usercpu_time_millis: 500, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 941.6675, usercpu_time_millis: 500, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7488, kappa: 0.6813, kb_relative_information_score: 171.7881, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7619, predictive_accuracy: 0.7599, prior_entropy: 1.9991, recall: 0.7599, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6651, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.6448, kappa: 0.5353, kb_relative_information_score: 156.6146, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6402, predictive_accuracy: 0.6523, prior_entropy: 1.9991, recall: 0.6523, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8469, scimark_benchmark: 927.2917, usercpu_time_millis: 2710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7465, kappa: 0.671, kb_relative_information_score: 181.0066, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7505, predictive_accuracy: 0.7527, prior_entropy: 1.9991, recall: 0.7527, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.631, scimark_benchmark: 931.771, usercpu_time_millis: 360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 937.5117, usercpu_time_millis: 690, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.6448, kappa: 0.5353, kb_relative_information_score: 156.6146, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6402, predictive_accuracy: 0.6523, prior_entropy: 1.9991, recall: 0.6523, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8469, scimark_benchmark: 938.5498, usercpu_time_millis: 2750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7465, kappa: 0.671, kb_relative_information_score: 181.0066, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7505, predictive_accuracy: 0.7527, prior_entropy: 1.9991, recall: 0.7527, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.631, scimark_benchmark: 943.1009, usercpu_time_millis: 660, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6437, kappa: 0.5476, kb_relative_information_score: 148.671, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6581, predictive_accuracy: 0.6667, prior_entropy: 1.9991, recall: 0.6667, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7697, scimark_benchmark: 936.2574, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 927.2882, usercpu_time_millis: 490, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7488, kappa: 0.6813, kb_relative_information_score: 171.7881, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7619, predictive_accuracy: 0.7599, prior_entropy: 1.9991, recall: 0.7599, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6651, scimark_benchmark: 941.4991, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7465, kappa: 0.671, kb_relative_information_score: 181.0066, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7505, predictive_accuracy: 0.7527, prior_entropy: 1.9991, recall: 0.7527, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.631, scimark_benchmark: 901.4991, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.7925, kappa: 0.7277, kb_relative_information_score: 183.8915, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7958, predictive_accuracy: 0.7957, prior_entropy: 1.9991, recall: 0.7957, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.261, root_relative_squared_error: 0.603, scimark_benchmark: 763.3895, usercpu_time_millis: 12240, usercpu_time_millis_testing: 4150, usercpu_time_millis_training: 8090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7701, kappa: 0.6994, kb_relative_information_score: 182.9666, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7752, predictive_accuracy: 0.7742, prior_entropy: 1.9991, recall: 0.7742, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.608, scimark_benchmark: 943.2803, usercpu_time_millis: 4550, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.7453, kappa: 0.6665, kb_relative_information_score: 179.5962, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.753, predictive_accuracy: 0.7491, prior_entropy: 1.9991, recall: 0.7491, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.621, scimark_benchmark: 935.0213, usercpu_time_millis: 3320, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7733, kappa: 0.7034, kb_relative_information_score: 182.3026, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 1.9991, recall: 0.7778, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.6174, scimark_benchmark: 911.2316, usercpu_time_millis: 1230, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.7504, kappa: 0.6769, kb_relative_information_score: 180.6984, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7674, predictive_accuracy: 0.7563, prior_entropy: 1.9991, recall: 0.7563, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.637, scimark_benchmark: 894.7131, usercpu_time_millis: 790, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0785, kb_relative_information_score: 2.1493, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.0478, predictive_accuracy: 0.2186, prior_entropy: 1.9991, recall: 0.2186, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0026, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.715, kappa: 0.6283, kb_relative_information_score: 178.796, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7209, predictive_accuracy: 0.7204, prior_entropy: 1.9991, recall: 0.7204, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6807, scimark_benchmark: 926.5859, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 930.5999, usercpu_time_millis: 520, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 1338.5214, usercpu_time_millis: 690, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7488, kappa: 0.6813, kb_relative_information_score: 171.7881, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7619, predictive_accuracy: 0.7599, prior_entropy: 1.9991, recall: 0.7599, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6651, scimark_benchmark: 1350.2591, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1347.1763, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.6448, kappa: 0.5353, kb_relative_information_score: 156.6146, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6402, predictive_accuracy: 0.6523, prior_entropy: 1.9991, recall: 0.6523, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8469, scimark_benchmark: 1313.11, usercpu_time_millis: 2880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7465, kappa: 0.671, kb_relative_information_score: 181.0066, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7505, predictive_accuracy: 0.7527, prior_entropy: 1.9991, recall: 0.7527, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.631, scimark_benchmark: 1310.6554, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6437, kappa: 0.5476, kb_relative_information_score: 148.671, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6581, predictive_accuracy: 0.6667, prior_entropy: 1.9991, recall: 0.6667, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7697, scimark_benchmark: 1253.0071, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 1286.0816, usercpu_time_millis: 680, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1320.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7488, kappa: 0.6813, kb_relative_information_score: 171.7881, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7619, predictive_accuracy: 0.7599, prior_entropy: 1.9991, recall: 0.7599, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6651, scimark_benchmark: 1325.6322, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 1371.4836, usercpu_time_millis: 690, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 1319.688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1396.2485, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,

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