Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 1805 Supervised Classification soybean 320 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8843, kappa: 0.876, kb_relative_information_score: 2999.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 3.8572, recall: 0.887, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4455, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.817, kappa: 0.8019, kb_relative_information_score: 2695.4848, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8345, predictive_accuracy: 0.8196, prior_entropy: 3.8572, recall: 0.8196, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5317, scimark_benchmark: 851.2074, usercpu_time_millis: 1380, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 916.0735, usercpu_time_millis: 410, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9149, kappa: 0.9067, kb_relative_information_score: 3153.8902, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9247, predictive_accuracy: 0.9148, prior_entropy: 3.8572, recall: 0.9148, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.3952, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7356, kappa: 0.7365, kb_relative_information_score: 2441.4003, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7434, predictive_accuracy: 0.7625, prior_entropy: 3.8572, recall: 0.7625, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.6109, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 931.771, usercpu_time_millis: 450, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 941.3847, usercpu_time_millis: 450, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9149, kappa: 0.9067, kb_relative_information_score: 3153.8902, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9247, predictive_accuracy: 0.9148, prior_entropy: 3.8572, recall: 0.9148, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.3952, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, 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: 0.9808, f_measure: 0.9119, kappa: 0.904, kb_relative_information_score: 3105.9473, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9129, predictive_accuracy: 0.9124, prior_entropy: 3.8572, recall: 0.9124, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4087, scimark_benchmark: 938.5498, usercpu_time_millis: 10560, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 10180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 943.1009, usercpu_time_millis: 470, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8843, kappa: 0.876, kb_relative_information_score: 2999.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 3.8572, recall: 0.887, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4455, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.817, kappa: 0.8019, kb_relative_information_score: 2695.4848, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8345, predictive_accuracy: 0.8196, prior_entropy: 3.8572, recall: 0.8196, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5317, scimark_benchmark: 936.2574, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 930.404, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 941.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7356, kappa: 0.7365, kb_relative_information_score: 2441.4003, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7434, predictive_accuracy: 0.7625, prior_entropy: 3.8572, recall: 0.7625, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.6109, scimark_benchmark: 933.3455, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9119, kappa: 0.904, kb_relative_information_score: 3105.9473, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9129, predictive_accuracy: 0.9124, prior_entropy: 3.8572, recall: 0.9124, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4087, scimark_benchmark: 1051.249, usercpu_time_millis: 23540, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 22090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, 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: 0.9957, f_measure: 0.9378, kappa: 0.9322, kb_relative_information_score: 3172.5973, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9392, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.3224, scimark_benchmark: 936.2727, usercpu_time_millis: 19780, usercpu_time_millis_testing: 7010, usercpu_time_millis_training: 12770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9387, kappa: 0.9332, kb_relative_information_score: 3172.0368, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9401, predictive_accuracy: 0.9391, prior_entropy: 3.8572, recall: 0.9391, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3228, scimark_benchmark: 935.2002, usercpu_time_millis: 11840, usercpu_time_millis_testing: 4690, usercpu_time_millis_training: 7150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9366, kappa: 0.9309, kb_relative_information_score: 3174.4559, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9381, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.3243, scimark_benchmark: 928.7131, usercpu_time_millis: 5190, usercpu_time_millis_testing: 2000, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9352, kappa: 0.9293, kb_relative_information_score: 3176.4155, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9368, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.3251, scimark_benchmark: 932.4744, usercpu_time_millis: 2030, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9372, kappa: 0.9316, kb_relative_information_score: 3172.7704, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9386, predictive_accuracy: 0.9376, prior_entropy: 3.8572, recall: 0.9376, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3304, scimark_benchmark: 926.5859, usercpu_time_millis: 1100, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.032, kb_relative_information_score: 9.2729, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 1103.7111, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.9276, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 1103.7111, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.9276, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 1103.7111, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.9276, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 1103.7111, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.9276, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 1103.7111, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.9276, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9261, kappa: 0.9209, kb_relative_information_score: 3012.6928, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9322, predictive_accuracy: 0.928, prior_entropy: 3.8572, recall: 0.928, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3777, scimark_benchmark: 926.5859, usercpu_time_millis: 410, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 1316.5668, usercpu_time_millis: 500, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8843, kappa: 0.876, kb_relative_information_score: 2999.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 3.8572, recall: 0.887, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4455, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 1337.9552, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9149, kappa: 0.9067, kb_relative_information_score: 3153.8902, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9247, predictive_accuracy: 0.9148, prior_entropy: 3.8572, recall: 0.9148, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.3952, scimark_benchmark: 1310.6554, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8843, kappa: 0.876, kb_relative_information_score: 2999.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 3.8572, recall: 0.887, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4455, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 1332.9478, usercpu_time_millis: 410, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9149, kappa: 0.9067, kb_relative_information_score: 3153.8902, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9247, predictive_accuracy: 0.9148, prior_entropy: 3.8572, recall: 0.9148, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.3952, scimark_benchmark: 1346.4374, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1374.9737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1333.0982, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7356, kappa: 0.7365, kb_relative_information_score: 2441.4003, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7434, predictive_accuracy: 0.7625, prior_entropy: 3.8572, recall: 0.7625, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.6109, scimark_benchmark: 1317.5857, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1317.6232, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9119, kappa: 0.904, kb_relative_information_score: 3105.9473, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9129, predictive_accuracy: 0.9124, prior_entropy: 3.8572, recall: 0.9124, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4087, scimark_benchmark: 1350.2591, usercpu_time_millis: 16580, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 15240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 1320.8283, usercpu_time_millis: 440, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.817, kappa: 0.8019, kb_relative_information_score: 2695.4848, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8345, predictive_accuracy: 0.8196, prior_entropy: 3.8572, recall: 0.8196, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5317, scimark_benchmark: 1345.7919, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 1336.4701, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1393.1381, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1330.7859, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1336.4564, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 1292.514, usercpu_time_millis: 470, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9189, kappa: 0.9133, kb_relative_information_score: 3167.0169, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9266, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.3631, scimark_benchmark: 1354.5533, usercpu_time_millis: 1970, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8843, kappa: 0.876, kb_relative_information_score: 2999.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 3.8572, recall: 0.887, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4455, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8037, kappa: 0.812, kb_relative_information_score: 2734.0721, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8402, predictive_accuracy: 0.8305, prior_entropy: 3.8572, recall: 0.8305, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6097, scimark_benchmark: 1371.4836, usercpu_time_millis: 420, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9203, kappa: 0.9149, kb_relative_information_score: 3167.2411, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 1347.993, usercpu_time_millis: 490, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 410,

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