Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 1779 Supervised Classification breast-w 334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9448, kappa: 0.878, kb_relative_information_score: 2932.0865, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9297, recall: 0.9448, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4702, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9534, kappa: 0.8969, kb_relative_information_score: 2963.6992, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9297, recall: 0.9534, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4029, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9454, kappa: 0.8789, kb_relative_information_score: 3003.3585, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.201, root_relative_squared_error: 0.423, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9516, kappa: 0.8946, kb_relative_information_score: 3098.8835, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9554, predictive_accuracy: 0.9511, prior_entropy: 0.9297, recall: 0.9511, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4654, scimark_benchmark: 916.0735, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9528, kappa: 0.8956, kb_relative_information_score: 2895.7446, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.192, root_relative_squared_error: 0.404, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.962, kappa: 0.916, kb_relative_information_score: 3021.6593, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9297, recall: 0.9619, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3674, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9516, kappa: 0.8946, kb_relative_information_score: 3098.8835, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9554, predictive_accuracy: 0.9511, prior_entropy: 0.9297, recall: 0.9511, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4654, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9727, kappa: 0.94, kb_relative_information_score: 3261.0731, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9736, predictive_accuracy: 0.9725, prior_entropy: 0.9297, recall: 0.9725, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9546, kappa: 0.8997, kb_relative_information_score: 3078.0098, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 0.9297, recall: 0.9545, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4188, scimark_benchmark: 947.1781, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.962, kappa: 0.916, kb_relative_information_score: 3021.6593, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9297, recall: 0.9619, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3674, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9448, kappa: 0.878, kb_relative_information_score: 2932.0865, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9297, recall: 0.9448, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4702, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9534, kappa: 0.8969, kb_relative_information_score: 2963.6992, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9297, recall: 0.9534, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4029, scimark_benchmark: 935.2002, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9454, kappa: 0.8789, kb_relative_information_score: 3003.3585, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.201, root_relative_squared_error: 0.423, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9516, kappa: 0.8946, kb_relative_information_score: 3098.8835, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9554, predictive_accuracy: 0.9511, prior_entropy: 0.9297, recall: 0.9511, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4654, scimark_benchmark: 927.2882, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9727, kappa: 0.94, kb_relative_information_score: 3261.0731, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9736, predictive_accuracy: 0.9725, prior_entropy: 0.9297, recall: 0.9725, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9528, kappa: 0.8956, kb_relative_information_score: 2895.7446, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.192, root_relative_squared_error: 0.404, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9625, kappa: 0.9169, kb_relative_information_score: 3095.7485, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9297, recall: 0.9625, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3584, scimark_benchmark: 906.0979, usercpu_time_millis: 14960, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 14900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9546, kappa: 0.8997, kb_relative_information_score: 3078.0098, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 0.9297, recall: 0.9545, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4188, scimark_benchmark: 1051.249, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.962, kappa: 0.916, kb_relative_information_score: 3021.6593, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9297, recall: 0.9619, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3674, scimark_benchmark: 936.9595, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9695, kappa: 0.9328, kb_relative_information_score: 3084.9266, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9699, predictive_accuracy: 0.9694, prior_entropy: 0.9297, recall: 0.9694, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3393, scimark_benchmark: 938.988, usercpu_time_millis: 2510, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9709, kappa: 0.9359, kb_relative_information_score: 3084.9226, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9297, recall: 0.9708, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.34, scimark_benchmark: 901.6243, usercpu_time_millis: 930, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9704, kappa: 0.9347, kb_relative_information_score: 3080.6874, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9709, predictive_accuracy: 0.9702, prior_entropy: 0.9297, recall: 0.9702, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3418, scimark_benchmark: 941.589, usercpu_time_millis: 440, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9695, kappa: 0.9327, kb_relative_information_score: 3073.9578, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9698, predictive_accuracy: 0.9694, prior_entropy: 0.9297, recall: 0.9694, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3457, scimark_benchmark: 911.2316, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9678, kappa: 0.929, kb_relative_information_score: 3083.8694, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9681, predictive_accuracy: 0.9677, prior_entropy: 0.9297, recall: 0.9677, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3468, scimark_benchmark: 926.5859, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9522, kappa: 0.8941, kb_relative_information_score: 3070.3026, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4208, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9522, kappa: 0.8941, kb_relative_information_score: 3070.3026, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4208, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9522, kappa: 0.8941, kb_relative_information_score: 3070.3026, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4208, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9522, kappa: 0.8941, kb_relative_information_score: 3070.3026, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4208, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9522, kappa: 0.8941, kb_relative_information_score: 3070.3026, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4208, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9553, kappa: 0.9009, kb_relative_information_score: 3134.0732, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9297, recall: 0.9554, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4326, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9625, kappa: 0.9169, kb_relative_information_score: 3095.7485, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9297, recall: 0.9625, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3584, scimark_benchmark: 1331.7953, usercpu_time_millis: 7200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 7140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9546, kappa: 0.8997, kb_relative_information_score: 3078.0098, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 0.9297, recall: 0.9545, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4188, scimark_benchmark: 1332.9478, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.962, kappa: 0.916, kb_relative_information_score: 3021.6593, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9297, recall: 0.9619, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3674, scimark_benchmark: 1332.9478, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9727, kappa: 0.94, kb_relative_information_score: 3261.0731, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9736, predictive_accuracy: 0.9725, prior_entropy: 0.9297, recall: 0.9725, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9528, kappa: 0.8956, kb_relative_information_score: 2895.7446, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.192, root_relative_squared_error: 0.404, scimark_benchmark: 1337.8124, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9727, kappa: 0.94, kb_relative_information_score: 3261.0731, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9736, predictive_accuracy: 0.9725, prior_entropy: 0.9297, recall: 0.9725, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9516, kappa: 0.8946, kb_relative_information_score: 3098.8835, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9554, predictive_accuracy: 0.9511, prior_entropy: 0.9297, recall: 0.9511, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4654, scimark_benchmark: 1347.1763, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9625, kappa: 0.9169, kb_relative_information_score: 3095.7485, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9297, recall: 0.9625, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3584, scimark_benchmark: 1306.8702, usercpu_time_millis: 9720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 9660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.962, kappa: 0.916, kb_relative_information_score: 3021.6593, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9297, recall: 0.9619, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3674, scimark_benchmark: 1324.6442, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9448, kappa: 0.878, kb_relative_information_score: 2932.0865, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9297, recall: 0.9448, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4702, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9448, kappa: 0.878, kb_relative_information_score: 2932.0865, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9297, recall: 0.9448, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4702, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9727, kappa: 0.94, kb_relative_information_score: 3261.0731, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9736, predictive_accuracy: 0.9725, prior_entropy: 0.9297, recall: 0.9725, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9625, kappa: 0.9169, kb_relative_information_score: 3095.7485, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9297, recall: 0.9625, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3584, scimark_benchmark: 1332.9478, usercpu_time_millis: 15220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 15160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.9268, kb_relative_information_score: 3184.744, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9297, recall: 0.9668, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3515, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9546, kappa: 0.8997, kb_relative_information_score: 3078.0098, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 0.9297, recall: 0.9545, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4188, scimark_benchmark: 1338.5214, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.962, kappa: 0.916, kb_relative_information_score: 3021.6593, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.452, number_of_instances: 3495, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9297, recall: 0.9619, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3674, scimark_benchmark: 1323.5075, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, 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