OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 1930 Supervised Classification heart-h 169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1117.9863, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 1.0314, recall: 0.7963, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8345, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7972, kappa: 0.5581, kb_relative_information_score: 1423.239, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7966, predictive_accuracy: 0.7983, prior_entropy: 1.0314, recall: 0.7983, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7822, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 941.3142, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.801, kappa: 0.5643, kb_relative_information_score: 1235.6224, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8007, predictive_accuracy: 0.8034, prior_entropy: 1.0314, recall: 0.8034, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7633, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8052, kappa: 0.5737, kb_relative_information_score: 1307.7148, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8049, predictive_accuracy: 0.8075, prior_entropy: 1.0314, recall: 0.8075, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7538, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8209, kappa: 0.6084, kb_relative_information_score: 1476.084, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.821, predictive_accuracy: 0.8221, prior_entropy: 1.0314, recall: 0.8221, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 947.1781, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8052, kappa: 0.5737, kb_relative_information_score: 1307.7148, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8049, predictive_accuracy: 0.8075, prior_entropy: 1.0314, recall: 0.8075, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7538, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1117.9863, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 1.0314, recall: 0.7963, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8345, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7972, kappa: 0.5581, kb_relative_information_score: 1423.239, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7966, predictive_accuracy: 0.7983, prior_entropy: 1.0314, recall: 0.7983, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7822, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 730.6551, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 906.0979, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.801, kappa: 0.5643, kb_relative_information_score: 1235.6224, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8007, predictive_accuracy: 0.8034, prior_entropy: 1.0314, recall: 0.8034, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7633, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8209, kappa: 0.6084, kb_relative_information_score: 1476.084, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.821, predictive_accuracy: 0.8221, prior_entropy: 1.0314, recall: 0.8221, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 936.3213, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8052, kappa: 0.5737, kb_relative_information_score: 1307.7148, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8049, predictive_accuracy: 0.8075, prior_entropy: 1.0314, recall: 0.8075, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7538, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8147, kappa: 0.5921, kb_relative_information_score: 1284.567, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8175, predictive_accuracy: 0.819, prior_entropy: 1.0314, recall: 0.819, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.73, scimark_benchmark: 940.1221, usercpu_time_millis: 1900, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8217, kappa: 0.6078, kb_relative_information_score: 1287.7811, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.824, predictive_accuracy: 0.8255, prior_entropy: 1.0314, recall: 0.8255, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7303, scimark_benchmark: 942.2392, usercpu_time_millis: 830, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8182, kappa: 0.6, kb_relative_information_score: 1282.2488, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.821, predictive_accuracy: 0.8224, prior_entropy: 1.0314, recall: 0.8224, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.7319, scimark_benchmark: 917.2109, usercpu_time_millis: 410, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8101, kappa: 0.5823, kb_relative_information_score: 1277.8166, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8122, predictive_accuracy: 0.8143, prior_entropy: 1.0314, recall: 0.8143, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.7382, scimark_benchmark: 942.5233, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8072, kappa: 0.576, kb_relative_information_score: 1278.8827, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8094, predictive_accuracy: 0.8116, prior_entropy: 1.0314, recall: 0.8116, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.7438, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -6.4132, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8244, kappa: 0.6142, kb_relative_information_score: 1672.7808, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8263, predictive_accuracy: 0.8279, prior_entropy: 1.0314, recall: 0.8279, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.8248, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8256, kappa: 0.6167, kb_relative_information_score: 1671.2847, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8273, predictive_accuracy: 0.8289, prior_entropy: 1.0314, recall: 0.8289, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.8204, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8139, kappa: 0.5906, kb_relative_information_score: 1626.6263, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8162, predictive_accuracy: 0.818, prior_entropy: 1.0314, recall: 0.818, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8385, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8078, kappa: 0.577, kb_relative_information_score: 1599.2351, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.847, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.804, kappa: 0.5686, kb_relative_information_score: 1565.8894, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8062, predictive_accuracy: 0.8085, prior_entropy: 1.0314, recall: 0.8085, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8745, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.79, kappa: 0.5389, kb_relative_information_score: 1073.6575, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7906, predictive_accuracy: 0.7939, prior_entropy: 1.0314, recall: 0.7939, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8563, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7941, kappa: 0.5437, kb_relative_information_score: 862.1375, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7996, predictive_accuracy: 0.7942, prior_entropy: 1.0314, recall: 0.7942, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.8339, scimark_benchmark: 936.7184, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1117.9863, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 1.0314, recall: 0.7963, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8345, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8418, kappa: 0.6536, kb_relative_information_score: 1613.8604, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8423, predictive_accuracy: 0.8439, prior_entropy: 1.0314, recall: 0.8439, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.6951, scimark_benchmark: 1318.2298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 549.4954, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 1375.1578, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8052, kappa: 0.5737, kb_relative_information_score: 1307.7148, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8049, predictive_accuracy: 0.8075, prior_entropy: 1.0314, recall: 0.8075, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7538, scimark_benchmark: 1260.1387, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8052, kappa: 0.5737, kb_relative_information_score: 1307.7148, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8049, predictive_accuracy: 0.8075, prior_entropy: 1.0314, recall: 0.8075, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7538, scimark_benchmark: 1281.7531, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7972, kappa: 0.5581, kb_relative_information_score: 1423.239, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7966, predictive_accuracy: 0.7983, prior_entropy: 1.0314, recall: 0.7983, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7822, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1117.9863, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 1.0314, recall: 0.7963, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8345, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.7994, kappa: 0.5606, kb_relative_information_score: 1161.1338, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7992, predictive_accuracy: 0.802, prior_entropy: 1.0314, recall: 0.802, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8024, scimark_benchmark: 1352.2099, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8455, kappa: 0.6615, kb_relative_information_score: 1660.4145, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8463, predictive_accuracy: 0.8476, prior_entropy: 1.0314, recall: 0.8476, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7004, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.801, kappa: 0.5643, kb_relative_information_score: 1235.6224, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8007, predictive_accuracy: 0.8034, prior_entropy: 1.0314, recall: 0.8034, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7633, scimark_benchmark: 1312.0581, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8149, kappa: 0.5965, kb_relative_information_score: 1553.0144, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8144, predictive_accuracy: 0.816, prior_entropy: 1.0314, recall: 0.816, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.245, root_relative_squared_error: 0.8067, scimark_benchmark: 1064.8317, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1117.9863, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 1.0314, recall: 0.7963, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8345, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7675, kappa: 0.4898, kb_relative_information_score: 1236.4632, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7673, predictive_accuracy: 0.7714, prior_entropy: 1.0314, recall: 0.7714, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8675, scimark_benchmark: 1288.1375, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7847, kappa: 0.5291, kb_relative_information_score: 1201.5725, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7841, predictive_accuracy: 0.7871, prior_entropy: 1.0314, recall: 0.7871, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.8568, scimark_benchmark: 1340.1351, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8011, kappa: 0.5635, kb_relative_information_score: 1230.8053, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8016, predictive_accuracy: 0.8044, prior_entropy: 1.0314, recall: 0.8044, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7545, scimark_benchmark: 892.0148, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7972, kappa: 0.5581, kb_relative_information_score: 1423.239, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7966, predictive_accuracy: 0.7983, prior_entropy: 1.0314, recall: 0.7983, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7822, scimark_benchmark: 1320.9026, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8133, kappa: 0.5881, kb_relative_information_score: 1080.5478, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8189, predictive_accuracy: 0.819, prior_entropy: 1.0314, recall: 0.819, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.7589, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8041, kappa: 0.5697, kb_relative_information_score: 1232.5372, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8052, predictive_accuracy: 0.8078, prior_entropy: 1.0314, recall: 0.8078, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7528, scimark_benchmark: 1330.8781, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7972, kappa: 0.5581, kb_relative_information_score: 1423.239, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.7966, predictive_accuracy: 0.7983, prior_entropy: 1.0314, recall: 0.7983, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7822, scimark_benchmark: 1319.4881, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1117.9863, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 1.0314, recall: 0.7963, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8345, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.811, kappa: 0.5847, kb_relative_information_score: 1112.4541, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8123, predictive_accuracy: 0.8146, prior_entropy: 1.0314, recall: 0.8146, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8127, scimark_benchmark: 1350.073,

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