Task
Supervised Classification on aids

Supervised Classification on aids

Task 4208 Supervised Classification aids 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4146, f_measure: 0.4035, kappa: -0.192, kb_relative_information_score: -0.072, mean_absolute_error: 0.5302, mean_prior_absolute_error: 0.5, weighted_recall: 0.404, number_of_instances: 500, precision: 0.4037, predictive_accuracy: 0.404, prior_entropy: 1, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1525, scimark_benchmark: 2300.2504, unweighted_recall: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5735, kappa: 0.152, kb_relative_information_score: 0.11, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, weighted_recall: 0.576, number_of_instances: 500, precision: 0.5778, predictive_accuracy: 0.576, prior_entropy: 1, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5619, root_relative_squared_error: 1.1238, scimark_benchmark: 979.7764, unweighted_recall: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5545, kappa: 0.172, kb_relative_information_score: 61.8023, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6199, predictive_accuracy: 0.586, prior_entropy: 1, recall: 0.586, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9731, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.6511, kappa: 0.304, kb_relative_information_score: 95.5733, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6537, predictive_accuracy: 0.652, prior_entropy: 1, recall: 0.652, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9679, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6378, kappa: 0.276, kb_relative_information_score: 113.7173, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6383, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0734, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -100, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -100, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.5302, kappa: 0.068, kb_relative_information_score: 17.2959, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5351, predictive_accuracy: 0.534, prior_entropy: 1, recall: 0.534, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0326, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.382, f_measure: 0.3699, kappa: -0.26, kb_relative_information_score: -38.8215, mean_absolute_error: 0.5276, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.3699, predictive_accuracy: 0.37, prior_entropy: 1, recall: 0.37, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1382, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3713, f_measure: 0.4121, kappa: -0.16, kb_relative_information_score: -28.951, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4154, predictive_accuracy: 0.42, prior_entropy: 1, recall: 0.42, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1452, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -100, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4146, f_measure: 0.4035, kappa: -0.192, kb_relative_information_score: -36.0135, mean_absolute_error: 0.5302, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4037, predictive_accuracy: 0.404, prior_entropy: 1, recall: 0.404, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1525, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5545, kappa: 0.172, kb_relative_information_score: 61.8023, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6199, predictive_accuracy: 0.586, prior_entropy: 1, recall: 0.586, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9731, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4958, kappa: -0.004, kb_relative_information_score: -2, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.498, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.653, kappa: 0.308, kb_relative_information_score: 95.7822, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6558, predictive_accuracy: 0.654, prior_entropy: 1, recall: 0.654, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6359, kappa: 0.272, kb_relative_information_score: 113.2437, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6362, predictive_accuracy: 0.636, prior_entropy: 1, recall: 0.636, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.537, root_relative_squared_error: 1.074, scimark_benchmark: 608.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -100, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 937.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -100, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.5302, kappa: 0.068, kb_relative_information_score: 17.2959, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5351, predictive_accuracy: 0.534, prior_entropy: 1, recall: 0.534, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0326, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3713, f_measure: 0.4121, kappa: -0.16, kb_relative_information_score: -28.951, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4154, predictive_accuracy: 0.42, prior_entropy: 1, recall: 0.42, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1452, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4146, f_measure: 0.4035, kappa: -0.192, kb_relative_information_score: -36.0135, mean_absolute_error: 0.5302, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4037, predictive_accuracy: 0.404, prior_entropy: 1, recall: 0.404, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1525, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.6238, kappa: 0.272, kb_relative_information_score: 64.6262, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6563, predictive_accuracy: 0.636, prior_entropy: 1, recall: 0.636, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9397, scimark_benchmark: 974.2014, usercpu_time_millis: 420, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.6113, kappa: 0.244, kb_relative_information_score: 59.758, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6371, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9475, scimark_benchmark: 905.2959, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.6138, kappa: 0.244, kb_relative_information_score: 61.488, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6334, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9463, scimark_benchmark: 945.5968, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6042, kappa: 0.224, kb_relative_information_score: 62.9782, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6215, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9477, scimark_benchmark: 908.4147, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5985, kappa: 0.204, kb_relative_information_score: 57.0683, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6057, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9624, 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: 0.6005, f_measure: 0.5808, kappa: 0.164, kb_relative_information_score: 68.4822, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.583, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0877, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.5808, kappa: 0.164, kb_relative_information_score: 68.2419, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.583, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.0878, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.5827, kappa: 0.168, kb_relative_information_score: 68.0023, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5851, predictive_accuracy: 0.584, prior_entropy: 1, recall: 0.584, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0876, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.5766, kappa: 0.156, kb_relative_information_score: 63.0145, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.578, prior_entropy: 1, recall: 0.578, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.0903, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5626, kappa: 0.128, kb_relative_information_score: 55.758, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5648, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0942, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -3.0373, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6867, kappa: 0.38, kb_relative_information_score: 185.7887, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6983, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.53, root_relative_squared_error: 1.0599, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6339, kappa: 0.276, kb_relative_information_score: 135.5105, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6445, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.1145, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.6137, kappa: 0.24, kb_relative_information_score: 107.8086, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6284, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5645, root_relative_squared_error: 1.1291, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5807, kappa: 0.176, kb_relative_information_score: 85.4918, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5946, predictive_accuracy: 0.588, prior_entropy: 1, recall: 0.588, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5674, root_relative_squared_error: 1.1348, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.382, f_measure: 0.3699, kappa: -0.26, kb_relative_information_score: -38.8215, mean_absolute_error: 0.5276, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.3699, predictive_accuracy: 0.37, prior_entropy: 1, recall: 0.37, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1382, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2745, f_measure: 0.3947, kappa: -0.184, kb_relative_information_score: -28.4709, mean_absolute_error: 0.5181, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.3992, predictive_accuracy: 0.408, prior_entropy: 1, recall: 0.408, relative_absolute_error: 1.0362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1139, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.241, f_measure: 0.2102, kappa: -0.576, kb_relative_information_score: -135.8586, mean_absolute_error: 0.6148, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.2093, predictive_accuracy: 0.212, prior_entropy: 1, recall: 0.212, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6468, root_relative_squared_error: 1.2936, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3713, f_measure: 0.4121, kappa: -0.16, kb_relative_information_score: -28.951, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4154, predictive_accuracy: 0.42, prior_entropy: 1, recall: 0.42, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1452, scimark_benchmark: 1347.6543, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4146, f_measure: 0.4035, kappa: -0.192, kb_relative_information_score: -36.0135, mean_absolute_error: 0.5302, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4037, predictive_accuracy: 0.404, prior_entropy: 1, recall: 0.404, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1525, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5545, kappa: 0.172, kb_relative_information_score: 61.8023, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6199, predictive_accuracy: 0.586, prior_entropy: 1, recall: 0.586, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9731, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2705, f_measure: 0.3037, kappa: -0.392, kb_relative_information_score: -44.0523, mean_absolute_error: 0.5327, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.3037, predictive_accuracy: 0.304, prior_entropy: 1, recall: 0.304, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.0853, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5976, kappa: 0.248, kb_relative_information_score: 86.3977, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6681, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6359, kappa: 0.272, kb_relative_information_score: 113.2437, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6362, predictive_accuracy: 0.636, prior_entropy: 1, recall: 0.636, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.537, root_relative_squared_error: 1.074, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.6315, kappa: 0.304, kb_relative_information_score: 60.4466, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6956, predictive_accuracy: 0.652, prior_entropy: 1, recall: 0.652, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9517, scimark_benchmark: 1338.6772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -100, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.382, f_measure: 0.3699, kappa: -0.26, kb_relative_information_score: -38.8215, mean_absolute_error: 0.5276, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.3699, predictive_accuracy: 0.37, prior_entropy: 1, recall: 0.37, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1382, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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