Task
Supervised Classification on tae

Supervised Classification on tae

Task 1927 Supervised Classification tae 172 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.3766, kappa: 0.2031, kb_relative_information_score: 194.6467, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.384, predictive_accuracy: 0.4662, prior_entropy: 1.5845, recall: 0.4662, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.977, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5291, kappa: 0.2935, kb_relative_information_score: 396.7424, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5335, predictive_accuracy: 0.5285, prior_entropy: 1.5845, recall: 0.5285, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9693, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 941.3142, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.5323, kappa: 0.3014, kb_relative_information_score: 354.0333, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5324, predictive_accuracy: 0.5344, prior_entropy: 1.5845, recall: 0.5344, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9345, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.6753, kappa: 0.514, kb_relative_information_score: 638.3913, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 1.5845, recall: 0.6762, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8514, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.3777, kappa: 0.2011, kb_relative_information_score: 188.1129, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3944, predictive_accuracy: 0.4649, prior_entropy: 1.5845, recall: 0.4649, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.5526, kappa: 0.3275, kb_relative_information_score: 324.5107, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5634, predictive_accuracy: 0.551, prior_entropy: 1.5845, recall: 0.551, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9652, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.6753, kappa: 0.514, kb_relative_information_score: 638.3913, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 1.5845, recall: 0.6762, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8514, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.3766, kappa: 0.2031, kb_relative_information_score: 194.6467, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.384, predictive_accuracy: 0.4662, prior_entropy: 1.5845, recall: 0.4662, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.977, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5291, kappa: 0.2935, kb_relative_information_score: 396.7424, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5335, predictive_accuracy: 0.5285, prior_entropy: 1.5845, recall: 0.5285, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9693, scimark_benchmark: 608.4057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.5323, kappa: 0.3014, kb_relative_information_score: 354.0333, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5324, predictive_accuracy: 0.5344, prior_entropy: 1.5845, recall: 0.5344, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9345, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.5526, kappa: 0.3275, kb_relative_information_score: 324.5107, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5634, predictive_accuracy: 0.551, prior_entropy: 1.5845, recall: 0.551, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9652, scimark_benchmark: 935.5664, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.6753, kappa: 0.514, kb_relative_information_score: 638.3913, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 1.5845, recall: 0.6762, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8514, scimark_benchmark: 901.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.5971, kappa: 0.3978, kb_relative_information_score: 543.6332, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.597, predictive_accuracy: 0.5987, prior_entropy: 1.5845, recall: 0.5987, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8723, scimark_benchmark: 940.1221, usercpu_time_millis: 740, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.603, kappa: 0.4076, kb_relative_information_score: 545.0904, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6033, predictive_accuracy: 0.6053, prior_entropy: 1.5845, recall: 0.6053, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8719, scimark_benchmark: 940.1221, usercpu_time_millis: 270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6022, kappa: 0.4057, kb_relative_information_score: 542.7679, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6019, predictive_accuracy: 0.604, prior_entropy: 1.5845, recall: 0.604, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8761, scimark_benchmark: 931.6751, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6096, kappa: 0.4167, kb_relative_information_score: 544.4963, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6094, predictive_accuracy: 0.6113, prior_entropy: 1.5845, recall: 0.6113, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8784, scimark_benchmark: 920.5394, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.6034, kappa: 0.4087, kb_relative_information_score: 544.7822, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6044, predictive_accuracy: 0.606, prior_entropy: 1.5845, recall: 0.606, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8872, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.9801, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.3656, kappa: 0.0657, kb_relative_information_score: 144.4759, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3632, predictive_accuracy: 0.3762, prior_entropy: 1.5845, recall: 0.3762, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9954, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.3656, kappa: 0.0657, kb_relative_information_score: 144.4759, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3632, predictive_accuracy: 0.3762, prior_entropy: 1.5845, recall: 0.3762, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9954, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.3656, kappa: 0.0657, kb_relative_information_score: 144.4759, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3632, predictive_accuracy: 0.3762, prior_entropy: 1.5845, recall: 0.3762, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9954, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.3656, kappa: 0.0657, kb_relative_information_score: 144.4759, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3632, predictive_accuracy: 0.3762, prior_entropy: 1.5845, recall: 0.3762, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9954, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.3656, kappa: 0.0657, kb_relative_information_score: 144.4759, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3632, predictive_accuracy: 0.3762, prior_entropy: 1.5845, recall: 0.3762, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9954, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1764, kb_relative_information_score: 146.7667, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.4027, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5197, kappa: 0.2817, kb_relative_information_score: 367.455, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5239, predictive_accuracy: 0.5205, prior_entropy: 1.5845, recall: 0.5205, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9594, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.6089, kappa: 0.416, kb_relative_information_score: 326.8314, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6096, predictive_accuracy: 0.6106, prior_entropy: 1.5845, recall: 0.6106, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9098, scimark_benchmark: 936.7184, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.3766, kappa: 0.2031, kb_relative_information_score: 194.6467, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.384, predictive_accuracy: 0.4662, prior_entropy: 1.5845, recall: 0.4662, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.977, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.6753, kappa: 0.514, kb_relative_information_score: 638.3913, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 1.5845, recall: 0.6762, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8514, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.3777, kappa: 0.2011, kb_relative_information_score: 188.1129, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3944, predictive_accuracy: 0.4649, prior_entropy: 1.5845, recall: 0.4649, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.6753, kappa: 0.514, kb_relative_information_score: 638.3913, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 1.5845, recall: 0.6762, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8514, scimark_benchmark: 1281.7531, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5291, kappa: 0.2935, kb_relative_information_score: 396.7424, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5335, predictive_accuracy: 0.5285, prior_entropy: 1.5845, recall: 0.5285, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9693, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5368, kappa: 0.3041, kb_relative_information_score: 551.0051, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5401, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.3777, kappa: 0.2011, kb_relative_information_score: 188.1129, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3944, predictive_accuracy: 0.4649, prior_entropy: 1.5845, recall: 0.4649, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3772, kappa: 0.2001, kb_relative_information_score: 187.5893, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.391, predictive_accuracy: 0.4642, prior_entropy: 1.5845, recall: 0.4642, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9748, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.3777, kappa: 0.2011, kb_relative_information_score: 188.1129, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3944, predictive_accuracy: 0.4649, prior_entropy: 1.5845, recall: 0.4649, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.5047, kappa: 0.2668, kb_relative_information_score: 254.3459, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5104, predictive_accuracy: 0.5106, prior_entropy: 1.5845, recall: 0.5106, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9706, scimark_benchmark: 1352.2099, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.3777, kappa: 0.2011, kb_relative_information_score: 188.1129, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3944, predictive_accuracy: 0.4649, prior_entropy: 1.5845, recall: 0.4649, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.6116, kappa: 0.4192, kb_relative_information_score: 607.5097, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6129, predictive_accuracy: 0.6126, prior_entropy: 1.5845, recall: 0.6126, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9191, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.5552, kappa: 0.3336, kb_relative_information_score: 505.364, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5558, predictive_accuracy: 0.5556, prior_entropy: 1.5845, recall: 0.5556, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0117, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.3766, kappa: 0.2031, kb_relative_information_score: 188.6935, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.384, predictive_accuracy: 0.4662, prior_entropy: 1.5845, recall: 0.4662, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9754, scimark_benchmark: 1342.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5291, kappa: 0.2935, kb_relative_information_score: 396.7424, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5335, predictive_accuracy: 0.5285, prior_entropy: 1.5845, recall: 0.5285, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9693, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.5318, kappa: 0.2985, kb_relative_information_score: 266.5796, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5318, predictive_accuracy: 0.5325, prior_entropy: 1.5845, recall: 0.5325, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9323, scimark_benchmark: 1342.2985, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5291, kappa: 0.2935, kb_relative_information_score: 396.7424, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5335, predictive_accuracy: 0.5285, prior_entropy: 1.5845, recall: 0.5285, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9693, scimark_benchmark: 1319.4881,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs