Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 271 Supervised Classification soybean 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 851.2074, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 941.6675, usercpu_time_millis: 460, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 931.771, usercpu_time_millis: 480, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 937.5117, usercpu_time_millis: 570, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 943.1009, usercpu_time_millis: 10780, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 10400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 943.1009, usercpu_time_millis: 580, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 936.2574, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 730.6551, usercpu_time_millis: 780, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.9117, kb_relative_information_score: 205.971, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9357, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.3786, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 941.4991, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 901.4991, usercpu_time_millis: 470, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 206.452, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.3156, scimark_benchmark: 938.4601, usercpu_time_millis: 20220, usercpu_time_millis_testing: 8090, usercpu_time_millis_training: 12130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 206.753, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.3134, scimark_benchmark: 943.2803, usercpu_time_millis: 10960, usercpu_time_millis_testing: 4380, usercpu_time_millis_training: 6580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 206.2287, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.3131, scimark_benchmark: 935.0213, usercpu_time_millis: 4970, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 205.3706, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.3245, scimark_benchmark: 932.4744, usercpu_time_millis: 2630, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 204.1788, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3384, scimark_benchmark: 936.7184, usercpu_time_millis: 1160, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0257, kb_relative_information_score: 1.5735, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.0144, predictive_accuracy: 0.12, prior_entropy: 3.8572, recall: 0.12, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2188, root_relative_squared_error: 1.0016, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0257, kb_relative_information_score: 14.2153, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.0144, predictive_accuracy: 0.12, prior_entropy: 3.8572, recall: 0.12, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.3044, root_relative_squared_error: 1.3932, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9126, kappa: 0.9113, kb_relative_information_score: 195.9443, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9239, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.3885, scimark_benchmark: 936.7184, usercpu_time_millis: 1510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1306.9281, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 1345.6844, usercpu_time_millis: 1070, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1317.5857, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1327.3335, usercpu_time_millis: 410, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1346.4374, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1337.1928, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1337.3324, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1326.2019, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1311.5017, usercpu_time_millis: 16240, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 14940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1310.3168, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 1364.991, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1313.5633, usercpu_time_millis: 410, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1332.3382, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1333.9912, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 940.3347, usercpu_time_millis: 510, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1345.0202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1341.334, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1356.4396, usercpu_time_millis: 16510, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 15220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 1348.1311, usercpu_time_millis: 430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9413, kappa: 0.936, kb_relative_information_score: 209.3327, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9442, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.306, scimark_benchmark: 1318.2298, usercpu_time_millis: 1800, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1323.4116, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1331.7953, usercpu_time_millis: 450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1281.7531, usercpu_time_millis: 16760, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 15460,

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