Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 4548 Supervised Classification optdigits 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9755, kappa: 0.8626, kb_relative_information_score: 43973.6067, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9756, predictive_accuracy: 0.9762, prior_entropy: 0.4751, recall: 0.9762, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4965, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9784, kappa: 0.8808, kb_relative_information_score: 30158.291, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9783, predictive_accuracy: 0.9787, prior_entropy: 0.4751, recall: 0.9787, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4803, scimark_benchmark: 972.587, usercpu_time_millis: 2980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9727, kappa: 0.8465, kb_relative_information_score: 39009.9826, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4751, recall: 0.9735, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4944, scimark_benchmark: 934.3687, usercpu_time_millis: 4050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 941.3142, usercpu_time_millis: 116410, usercpu_time_millis_testing: 20110, usercpu_time_millis_training: 96300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 904.0772, usercpu_time_millis: 56740, usercpu_time_millis_testing: 14190, usercpu_time_millis_training: 42550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9952, kappa: 0.9734, kb_relative_information_score: 53061.2406, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.4751, recall: 0.9952, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2075, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 938.191, usercpu_time_millis: 470, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9845, kappa: 0.9137, kb_relative_information_score: 45048.0368, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.4751, recall: 0.9849, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3667, scimark_benchmark: 938.191, usercpu_time_millis: 1930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.975, kappa: 0.8615, kb_relative_information_score: 44168.0659, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9749, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4792, scimark_benchmark: 944.1067, usercpu_time_millis: 48520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 48440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 941.3847, usercpu_time_millis: 59030, usercpu_time_millis_testing: 12200, usercpu_time_millis_training: 46830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 944.1783, usercpu_time_millis: 103990, usercpu_time_millis_testing: 12800, usercpu_time_millis_training: 91190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.989, kappa: 0.9385, kb_relative_information_score: 45889.1956, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3333, scimark_benchmark: 937.5117, usercpu_time_millis: 2070, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9755, kappa: 0.8626, kb_relative_information_score: 43973.6067, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9756, predictive_accuracy: 0.9762, prior_entropy: 0.4751, recall: 0.9762, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4965, scimark_benchmark: 942.2392, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9784, kappa: 0.8808, kb_relative_information_score: 30158.291, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9783, predictive_accuracy: 0.9787, prior_entropy: 0.4751, recall: 0.9787, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4803, scimark_benchmark: 901.6243, usercpu_time_millis: 2370, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9727, kappa: 0.8465, kb_relative_information_score: 39009.9826, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4751, recall: 0.9735, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4944, scimark_benchmark: 936.2574, usercpu_time_millis: 3680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 904.5548, usercpu_time_millis: 82270, usercpu_time_millis_testing: 18260, usercpu_time_millis_training: 64010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 905.2959, usercpu_time_millis: 83840, usercpu_time_millis_testing: 20280, usercpu_time_millis_training: 63560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 930.404, usercpu_time_millis: 520, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 930.404, usercpu_time_millis: 520, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 938.1282, usercpu_time_millis: 500, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9845, kappa: 0.9137, kb_relative_information_score: 45048.0368, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.4751, recall: 0.9849, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3667, scimark_benchmark: 903.2737, usercpu_time_millis: 1690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 944.0133, usercpu_time_millis: 560, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.989, kappa: 0.9385, kb_relative_information_score: 45889.1956, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3333, scimark_benchmark: 941.4991, usercpu_time_millis: 2240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9917, kappa: 0.9541, kb_relative_information_score: 48846.3895, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.4751, recall: 0.9919, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2845, scimark_benchmark: 833.4972, usercpu_time_millis: 298980, usercpu_time_millis_testing: 101870, usercpu_time_millis_training: 197110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9919, kappa: 0.955, kb_relative_information_score: 48787.0762, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.4751, recall: 0.992, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2851, scimark_benchmark: 941.4991, usercpu_time_millis: 101720, usercpu_time_millis_testing: 38690, usercpu_time_millis_training: 63030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9916, kappa: 0.9534, kb_relative_information_score: 48577.7169, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.4751, recall: 0.9918, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.29, scimark_benchmark: 935.5664, usercpu_time_millis: 53500, usercpu_time_millis_testing: 22360, usercpu_time_millis_training: 31140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9472, kb_relative_information_score: 48218.8516, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4751, recall: 0.9907, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.2986, scimark_benchmark: 930.0025, usercpu_time_millis: 20690, usercpu_time_millis_testing: 4970, usercpu_time_millis_training: 15720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9901, kappa: 0.9448, kb_relative_information_score: 47663.275, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.4751, recall: 0.9903, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.31, scimark_benchmark: 914.3583, usercpu_time_millis: 9610, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 7700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9852, kappa: 0.9181, kb_relative_information_score: 48106.8692, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9851, predictive_accuracy: 0.9853, prior_entropy: 0.4751, recall: 0.9853, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3616, scimark_benchmark: 889.4922, usercpu_time_millis: 2010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9852, kappa: 0.9181, kb_relative_information_score: 48106.8692, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9851, predictive_accuracy: 0.9853, prior_entropy: 0.4751, recall: 0.9853, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3616, scimark_benchmark: 938.3115, usercpu_time_millis: 1860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9852, kappa: 0.9181, kb_relative_information_score: 48106.8692, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9851, predictive_accuracy: 0.9853, prior_entropy: 0.4751, recall: 0.9853, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3616, scimark_benchmark: 929.0296, usercpu_time_millis: 1980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9823, kappa: 0.9019, kb_relative_information_score: 46597.2857, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9822, predictive_accuracy: 0.9825, prior_entropy: 0.4751, recall: 0.9825, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3864, scimark_benchmark: 936.1714, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.972, kappa: 0.8443, kb_relative_information_score: 40238.2131, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9719, predictive_accuracy: 0.9725, prior_entropy: 0.4751, recall: 0.9725, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4842, scimark_benchmark: 941.9549, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9604, kappa: 0.7752, kb_relative_information_score: 28431.4139, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9603, predictive_accuracy: 0.9619, prior_entropy: 0.4751, recall: 0.9619, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5817, scimark_benchmark: 941.9549, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9778, kappa: 0.8745, kb_relative_information_score: 47614.8675, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9783, predictive_accuracy: 0.9786, prior_entropy: 0.4751, recall: 0.9786, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4509, scimark_benchmark: 929.0296, usercpu_time_millis: 5550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5530,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1324.8408, usercpu_time_millis: 360, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1340.9749, usercpu_time_millis: 320, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1333.202, usercpu_time_millis: 340, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9952, kappa: 0.9734, kb_relative_information_score: 53061.2406, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.4751, recall: 0.9952, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2075, scimark_benchmark: 1333.202, usercpu_time_millis: 1069120, usercpu_time_millis_testing: 13480, usercpu_time_millis_training: 1055640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.958, kappa: 0.7821, kb_relative_information_score: 35516.5786, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9623, predictive_accuracy: 0.9559, prior_entropy: 0.4751, recall: 0.9559, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6293, scimark_benchmark: 1338.5214, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1350.2591, usercpu_time_millis: 380, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1306.9281, usercpu_time_millis: 350, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9845, kappa: 0.9137, kb_relative_information_score: 45048.0368, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.4751, recall: 0.9849, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3667, scimark_benchmark: 1350.2591, usercpu_time_millis: 1710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1322.3407, usercpu_time_millis: 380, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.989, kappa: 0.9385, kb_relative_information_score: 45889.1956, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3333, scimark_benchmark: 1331.7953, usercpu_time_millis: 2120, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9755, kappa: 0.8626, kb_relative_information_score: 43973.6067, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9756, predictive_accuracy: 0.9762, prior_entropy: 0.4751, recall: 0.9762, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4965, scimark_benchmark: 1336.0954, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9784, kappa: 0.8808, kb_relative_information_score: 30158.291, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9783, predictive_accuracy: 0.9787, prior_entropy: 0.4751, recall: 0.9787, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4803, scimark_benchmark: 1319.4538, usercpu_time_millis: 1760, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.958, kappa: 0.7821, kb_relative_information_score: 35516.5786, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9623, predictive_accuracy: 0.9559, prior_entropy: 0.4751, recall: 0.9559, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6293, scimark_benchmark: 1321.8321, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1319.4538, usercpu_time_millis: 310, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1319.4538, usercpu_time_millis: 320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1339.2472, usercpu_time_millis: 320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.958, kappa: 0.7821, kb_relative_information_score: 35516.5786, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9623, predictive_accuracy: 0.9559, prior_entropy: 0.4751, recall: 0.9559, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6293, scimark_benchmark: 1337.1928, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1333.0982, usercpu_time_millis: 350, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1331.1314, usercpu_time_millis: 320, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.975, kappa: 0.8615, kb_relative_information_score: 44168.0659, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9749, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4792, scimark_benchmark: 1346.4374, usercpu_time_millis: 52810, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 52610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.989, kappa: 0.9385, kb_relative_information_score: 45889.1956, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3333, scimark_benchmark: 1342.2845, usercpu_time_millis: 2170, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9755, kappa: 0.8626, kb_relative_information_score: 43973.6067, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9756, predictive_accuracy: 0.9762, prior_entropy: 0.4751, recall: 0.9762, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4965, scimark_benchmark: 1313.8988, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9784, kappa: 0.8808, kb_relative_information_score: 30158.291, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9783, predictive_accuracy: 0.9787, prior_entropy: 0.4751, recall: 0.9787, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4803, scimark_benchmark: 1322.5413, usercpu_time_millis: 1870, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9727, kappa: 0.8465, kb_relative_information_score: 39009.9826, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4751, recall: 0.9735, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4944, scimark_benchmark: 1321.4771, usercpu_time_millis: 2960, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 1330.4755, usercpu_time_millis: 140580, usercpu_time_millis_testing: 35230, usercpu_time_millis_training: 105350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8511, kappa: 0.0075, kb_relative_information_score: 14786.5378, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3184, root_relative_squared_error: 1.0529, scimark_benchmark: 1342.8584, usercpu_time_millis: 89310, usercpu_time_millis_testing: 21410, usercpu_time_millis_training: 67900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.958, kappa: 0.7821, kb_relative_information_score: 35516.5786, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9623, predictive_accuracy: 0.9559, prior_entropy: 0.4751, recall: 0.9559, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6293, scimark_benchmark: 1299.6719, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.958, kappa: 0.7821, kb_relative_information_score: 35516.5786, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9623, predictive_accuracy: 0.9559, prior_entropy: 0.4751, recall: 0.9559, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6293, scimark_benchmark: 1320.8688, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9763, kappa: 0.875, kb_relative_information_score: 43544.501, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.183, number_of_instances: 56200, precision: 0.9784, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4559, scimark_benchmark: 1335.2021, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,

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