Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 1908 Supervised Classification optdigits 167 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8068, kappa: 0.7858, kb_relative_information_score: 41860.2204, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 3.3218, recall: 0.8072, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5707, scimark_benchmark: 851.2074, usercpu_time_millis: 12710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7827, kappa: 0.6991, kb_relative_information_score: 40280.9757, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9268, predictive_accuracy: 0.729, prior_entropy: 3.3218, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, scimark_benchmark: 931.771, usercpu_time_millis: 41860, usercpu_time_millis_testing: 13780, usercpu_time_millis_training: 28080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7827, kappa: 0.6991, kb_relative_information_score: 40280.9757, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9268, predictive_accuracy: 0.729, prior_entropy: 3.3218, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, scimark_benchmark: 941.6675, usercpu_time_millis: 57040, usercpu_time_millis_testing: 13810, usercpu_time_millis_training: 43230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 941.6675, usercpu_time_millis: 1150, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 941.6675, usercpu_time_millis: 1240, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 50883.6166, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9425, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3359, scimark_benchmark: 941.6675, usercpu_time_millis: 2270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 931.771, usercpu_time_millis: 3740, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7827, kappa: 0.6991, kb_relative_information_score: 40280.9757, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9268, predictive_accuracy: 0.729, prior_entropy: 3.3218, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, scimark_benchmark: 947.1781, usercpu_time_millis: 84510, usercpu_time_millis_testing: 24150, usercpu_time_millis_training: 60360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 48607.4445, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8961, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.4289, scimark_benchmark: 938.5498, usercpu_time_millis: 181920, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 180620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 943.1009, usercpu_time_millis: 4020, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 3510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 819.5729, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8068, kappa: 0.7858, kb_relative_information_score: 41860.2204, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 3.3218, recall: 0.8072, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5707, scimark_benchmark: 936.2574, usercpu_time_millis: 16570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 16560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7827, kappa: 0.6991, kb_relative_information_score: 40280.9757, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9268, predictive_accuracy: 0.729, prior_entropy: 3.3218, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, scimark_benchmark: 936.2574, usercpu_time_millis: 49000, usercpu_time_millis_testing: 16590, usercpu_time_millis_training: 32410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 938.1282, usercpu_time_millis: 1160, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 930.404, usercpu_time_millis: 1160, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 50883.6166, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9425, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3359, scimark_benchmark: 941.4991, usercpu_time_millis: 2240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 932.438, usercpu_time_millis: 1080, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 48607.4445, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8961, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.4289, scimark_benchmark: 936.2574, usercpu_time_millis: 171890, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 170590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 1051.249, usercpu_time_millis: 5160, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 4500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9854, kappa: 0.9837, kb_relative_information_score: 52538.3183, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2382, scimark_benchmark: 933.4823, usercpu_time_millis: 278030, usercpu_time_millis_testing: 78430, usercpu_time_millis_training: 199600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 52538.1648, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.072, root_relative_squared_error: 0.2399, scimark_benchmark: 932.438, usercpu_time_millis: 142820, usercpu_time_millis_testing: 44850, usercpu_time_millis_training: 97970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9816, kb_relative_information_score: 52492.0018, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 3.3218, recall: 0.9834, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2453, scimark_benchmark: 928.7131, usercpu_time_millis: 72890, usercpu_time_millis_testing: 25730, usercpu_time_millis_training: 47160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9814, kappa: 0.9793, kb_relative_information_score: 52458.5418, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 3.3218, recall: 0.9814, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2529, scimark_benchmark: 905.3417, usercpu_time_millis: 31350, usercpu_time_millis_testing: 5780, usercpu_time_millis_training: 25570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9763, kappa: 0.9736, kb_relative_information_score: 52384.9278, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9763, predictive_accuracy: 0.9763, prior_entropy: 3.3218, recall: 0.9763, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.2678, scimark_benchmark: 930.0565, usercpu_time_millis: 14860, usercpu_time_millis_testing: 2010, usercpu_time_millis_training: 12850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8775, kappa: 0.8641, kb_relative_information_score: 48429.9884, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8774, predictive_accuracy: 0.8777, prior_entropy: 3.3218, recall: 0.8777, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 941.9549, usercpu_time_millis: 1510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 940.0055, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 941.9549, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0318, kappa: -0.0003, kb_relative_information_score: 3352.0388, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 52426.5012, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2686, scimark_benchmark: 941.9549, usercpu_time_millis: 16150, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 15200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.2518, kappa: 0.2812, kb_relative_information_score: 10571.052, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.3484, predictive_accuracy: 0.353, prior_entropy: 3.3218, recall: 0.353, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9579, scimark_benchmark: 931.7994, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9229, kappa: 0.9138, kb_relative_information_score: 51851.9922, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9245, predictive_accuracy: 0.9225, prior_entropy: 3.3218, recall: 0.9225, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3897, scimark_benchmark: 1327.3335, usercpu_time_millis: 390, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1325.8468, usercpu_time_millis: 670, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1313.11, usercpu_time_millis: 670, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1332.9478, usercpu_time_millis: 790, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 1323.5075, usercpu_time_millis: 4490, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 48607.4445, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8961, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.4289, scimark_benchmark: 1344.7524, usercpu_time_millis: 283270, usercpu_time_millis_testing: 4210, usercpu_time_millis_training: 279060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9748, kappa: 0.9721, kb_relative_information_score: 54725.7704, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 3.3218, recall: 0.9749, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2337, scimark_benchmark: 1256.2802, usercpu_time_millis: 9680, usercpu_time_millis_testing: 2690, usercpu_time_millis_training: 6990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8068, kappa: 0.7858, kb_relative_information_score: 41860.2204, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 3.3218, recall: 0.8072, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5707, scimark_benchmark: 1336.4564, usercpu_time_millis: 15820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 50883.6166, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9425, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3359, scimark_benchmark: 1325.6322, usercpu_time_millis: 1780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1303.5632, usercpu_time_millis: 800, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 1312.3892, usercpu_time_millis: 3550, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 1316.6741, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1343.3311, usercpu_time_millis: 670, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1322.7257, usercpu_time_millis: 670, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 1322.7257, usercpu_time_millis: 3090, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1288.1375, usercpu_time_millis: 760, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 1371.9645, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 926.6704, usercpu_time_millis: 950, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1350.073, usercpu_time_millis: 720, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 54662.3116, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2286, scimark_benchmark: 1354.3488, usercpu_time_millis: 750, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 1345.7204, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 55094.3422, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 3.3218, recall: 0.9803, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1982, scimark_benchmark: 942.9708, usercpu_time_millis: 334030, usercpu_time_millis_testing: 334030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9034, kappa: 0.8927, kb_relative_information_score: 50169.7128, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9035, predictive_accuracy: 0.9034, prior_entropy: 3.3218, recall: 0.9034, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.4449, scimark_benchmark: 1340.1351, usercpu_time_millis: 3210, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.976, kappa: 0.9734, kb_relative_information_score: 49829.61, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9761, predictive_accuracy: 0.9761, prior_entropy: 3.3218, recall: 0.9761, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3217, scimark_benchmark: 1320.6159, usercpu_time_millis: 17410, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 16590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9746, kappa: 0.9718, kb_relative_information_score: 54798.0002, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9746, predictive_accuracy: 0.9746, prior_entropy: 3.3218, recall: 0.9746, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2135, scimark_benchmark: 917.9672, usercpu_time_millis: 94690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 94670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9122, kappa: 0.9026, kb_relative_information_score: 50874.7249, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 3.3218, recall: 0.9124, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.4289, scimark_benchmark: 916.5769, usercpu_time_millis: 960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 54538.8212, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 3.3218, recall: 0.9723, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.225, scimark_benchmark: 1343.2125, usercpu_time_millis: 58150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 58100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9754, kappa: 0.9726, kb_relative_information_score: 49821.3336, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 3.3218, recall: 0.9754, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3232, scimark_benchmark: 1337.5749, usercpu_time_millis: 8440, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 8080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9524, kappa: 0.947, kb_relative_information_score: 51056.432, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9525, predictive_accuracy: 0.9523, prior_entropy: 3.3218, recall: 0.9523, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.095, root_relative_squared_error: 0.3168, scimark_benchmark: 1339.4964, usercpu_time_millis: 29510, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 29190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 1356.6855, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,

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

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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