Task
Supervised Classification on bodyfat

Supervised Classification on bodyfat

Task 4349 Supervised Classification bodyfat 210 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1), predictive_accuracy(1, 1), root_mean_squared_error(1, 1), prior_entropy(1, 1), total_cost(1, 1), f_measure(1, 1), root_relative_squared_error(1, 1), area_under_roc_curve(1, 1), mean_prior_absolute_error(1, 1), precision(1, 1), average_cost(1, 1), number_of_instances(1, 1), recall(1, 1), kb_relative_information_score(1, 1), kappa(1, 1), root_mean_prior_squared_error(1, 1), relative_absolute_error(1, 1), mean_absolute_error(1, 2), predictive_accuracy(1, 2), root_mean_squared_error(1, 2), prior_entropy(1, 2), total_cost(1, 2), f_measure(1, 2), root_relative_squared_error(1, 2), area_under_roc_curve(1, 2), mean_prior_absolute_error(1, 2), precision(1, 2), average_cost(1, 2), number_of_instances(1, 2), recall(1, 2), kb_relative_information_score(1, 2), kappa(1, 2), root_mean_prior_squared_error(1, 2), relative_absolute_error(1, 2), mean_absolute_error(1, 3... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2497.985, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 2471.5037, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 2479.9284, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 944.1067, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9933, kappa: 0.9865, kb_relative_information_score: 2477.0605, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9998, recall: 0.9933, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.073, root_relative_squared_error: 0.1461, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9599, kappa: 0.9198, kb_relative_information_score: 2038.1934, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9612, predictive_accuracy: 0.9599, prior_entropy: 0.9998, recall: 0.9599, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3864, scimark_benchmark: 938.191, usercpu_time_millis: 1930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2466.6089, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8924, kappa: 0.7848, kb_relative_information_score: 1987.1842, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.8926, predictive_accuracy: 0.8925, prior_entropy: 0.9998, recall: 0.8925, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5884, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9944, kappa: 0.9889, kb_relative_information_score: 2258.5753, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.9998, recall: 0.9944, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2305, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2497.985, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 2471.5037, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 2479.9284, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 927.2882, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 943.6618, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8924, kappa: 0.7848, kb_relative_information_score: 1987.1842, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.8926, predictive_accuracy: 0.8925, prior_entropy: 0.9998, recall: 0.8925, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5884, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9933, kappa: 0.9865, kb_relative_information_score: 2477.0605, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9998, recall: 0.9933, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.073, root_relative_squared_error: 0.1461, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9599, kappa: 0.9198, kb_relative_information_score: 2038.1934, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9612, predictive_accuracy: 0.9599, prior_entropy: 0.9998, recall: 0.9599, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3864, scimark_benchmark: 905.2959, usercpu_time_millis: 2850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2466.6089, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9944, kappa: 0.9889, kb_relative_information_score: 2258.5753, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.9998, recall: 0.9944, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2305, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9873, kappa: 0.9746, kb_relative_information_score: 2211.1013, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9875, predictive_accuracy: 0.9873, prior_entropy: 0.9998, recall: 0.9873, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2828, scimark_benchmark: 934.695, usercpu_time_millis: 1730, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9829, kappa: 0.9659, kb_relative_information_score: 2210.5661, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9832, predictive_accuracy: 0.9829, prior_entropy: 0.9998, recall: 0.9829, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.2852, scimark_benchmark: 943.6618, usercpu_time_millis: 640, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9817, kappa: 0.9635, kb_relative_information_score: 2208.227, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9819, predictive_accuracy: 0.9817, prior_entropy: 0.9998, recall: 0.9817, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.2918, scimark_benchmark: 862.7006, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9746, kappa: 0.9492, kb_relative_information_score: 2203.5859, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9747, predictive_accuracy: 0.9746, prior_entropy: 0.9998, recall: 0.9746, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3015, scimark_benchmark: 945.0448, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9722, kappa: 0.9444, kb_relative_information_score: 2197.0037, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 0.9998, recall: 0.9722, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3144, scimark_benchmark: 897.0978, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 2471.5037, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9944, kappa: 0.9889, kb_relative_information_score: 2258.5753, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.9998, recall: 0.9944, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2305, scimark_benchmark: 1340.9446, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8924, kappa: 0.7848, kb_relative_information_score: 1987.1842, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.8926, predictive_accuracy: 0.8925, prior_entropy: 0.9998, recall: 0.8925, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5884, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1340.5125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5833, kappa: 0.2188, kb_relative_information_score: 567.2943, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.6498, predictive_accuracy: 0.6127, prior_entropy: 0.9998, recall: 0.6127, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2448, scimark_benchmark: 1349.1517, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8924, kappa: 0.7848, kb_relative_information_score: 1987.1842, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.8926, predictive_accuracy: 0.8925, prior_entropy: 0.9998, recall: 0.8925, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5884, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2466.6089, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 1375.1578, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2497.985, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9599, kappa: 0.9198, kb_relative_information_score: 2038.1955, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9612, predictive_accuracy: 0.9599, prior_entropy: 0.9998, recall: 0.9599, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3864, scimark_benchmark: 1309.2287, usercpu_time_millis: 1220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 2358.4717, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9998, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2466.6089, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 1335.5309, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9944, kappa: 0.9889, kb_relative_information_score: 2258.5753, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.9998, recall: 0.9944, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2305, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9913, kb_relative_information_score: 2497.985, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9998, recall: 0.9956, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1322, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 2479.9284, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782, scimark_benchmark: 1322.806, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.994, kappa: 0.9881, kb_relative_information_score: 2017.1744, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.9998, recall: 0.994, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3723, scimark_benchmark: 1342.2845, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9944, kappa: 0.9889, kb_relative_information_score: 2258.5753, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4999, number_of_instances: 2520, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.9998, recall: 0.9944, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2305, scimark_benchmark: 1308.6872, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

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