OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2119 Supervised Classification yeast 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.5344, kappa: 0.4159, kb_relative_information_score: 198.0866, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5539, predictive_accuracy: 0.5501, prior_entropy: 2.5035, recall: 0.5501, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8877, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.5515, kappa: 0.4263, kb_relative_information_score: 208.4185, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5688, predictive_accuracy: 0.5603, prior_entropy: 2.5035, recall: 0.5603, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8751, scimark_benchmark: 851.2074, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.5906, kappa: 0.4825, kb_relative_information_score: 219.4037, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5975, predictive_accuracy: 0.6012, prior_entropy: 2.5035, recall: 0.6012, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8496, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 931.771, usercpu_time_millis: 1030, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.369, kappa: 0.2167, kb_relative_information_score: 132.6423, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.4623, predictive_accuracy: 0.4438, prior_entropy: 2.5035, recall: 0.4438, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.1981, scimark_benchmark: 974.2014, usercpu_time_millis: 900, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 205.2909, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.8743, scimark_benchmark: 936.3373, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 943.1009, usercpu_time_millis: 1060, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.5344, kappa: 0.4159, kb_relative_information_score: 198.0866, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5539, predictive_accuracy: 0.5501, prior_entropy: 2.5035, recall: 0.5501, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8877, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.5515, kappa: 0.4263, kb_relative_information_score: 208.4185, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5688, predictive_accuracy: 0.5603, prior_entropy: 2.5035, recall: 0.5603, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8751, scimark_benchmark: 944.0133, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.369, kappa: 0.2167, kb_relative_information_score: 132.6423, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.4623, predictive_accuracy: 0.4438, prior_entropy: 2.5035, recall: 0.4438, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.1981, scimark_benchmark: 927.2882, usercpu_time_millis: 600, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.369, kappa: 0.2167, kb_relative_information_score: 132.6423, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.4623, predictive_accuracy: 0.4438, prior_entropy: 2.5035, recall: 0.4438, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.1981, scimark_benchmark: 930.404, usercpu_time_millis: 590, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 206.6273, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.8749, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.5906, kappa: 0.4825, kb_relative_information_score: 219.4037, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5975, predictive_accuracy: 0.6012, prior_entropy: 2.5035, recall: 0.6012, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8496, scimark_benchmark: 941.4991, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 205.2909, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.8743, scimark_benchmark: 945.6228, usercpu_time_millis: 390, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 945.6228, usercpu_time_millis: 910, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5918, kappa: 0.4776, kb_relative_information_score: 224.3011, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5896, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.8289, scimark_benchmark: 737.6064, usercpu_time_millis: 21070, usercpu_time_millis_testing: 6180, usercpu_time_millis_training: 14890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.5935, kappa: 0.4813, kb_relative_information_score: 224.793, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.59, predictive_accuracy: 0.6012, prior_entropy: 2.5035, recall: 0.6012, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.8309, scimark_benchmark: 859.5223, usercpu_time_millis: 5980, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 5180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.5854, kappa: 0.4703, kb_relative_information_score: 226.3943, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5802, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.231, root_relative_squared_error: 0.8297, scimark_benchmark: 939.7883, usercpu_time_millis: 3100, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.5921, kappa: 0.4804, kb_relative_information_score: 225.4432, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5942, predictive_accuracy: 0.6012, prior_entropy: 2.5035, recall: 0.6012, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.8353, scimark_benchmark: 939.0589, usercpu_time_millis: 2330, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.5855, kappa: 0.4689, kb_relative_information_score: 217.7003, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5854, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.8472, scimark_benchmark: 889.4922, usercpu_time_millis: 940, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1474, kb_relative_information_score: 2.2262, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.0966, predictive_accuracy: 0.3108, prior_entropy: 2.5035, recall: 0.3108, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0007, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.5344, kappa: 0.4159, kb_relative_information_score: 198.0866, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5539, predictive_accuracy: 0.5501, prior_entropy: 2.5035, recall: 0.5501, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8877, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 206.6273, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.8749, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1306.8702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1345.6844, usercpu_time_millis: 920, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.5906, kappa: 0.4825, kb_relative_information_score: 219.4037, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5975, predictive_accuracy: 0.6012, prior_entropy: 2.5035, recall: 0.6012, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8496, scimark_benchmark: 1339.4412, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1317.6232, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 205.2909, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.8743, scimark_benchmark: 1306.5596, usercpu_time_millis: 520, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1313.5633, usercpu_time_millis: 860, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.5383, kappa: 0.4154, kb_relative_information_score: 220.4192, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5723, predictive_accuracy: 0.5562, prior_entropy: 2.5035, recall: 0.5562, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2979, root_relative_squared_error: 1.0702, scimark_benchmark: 1319.688, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 102.0438, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9568, scimark_benchmark: 1310.3168, usercpu_time_millis: 3660, usercpu_time_millis_testing: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.5478, kappa: 0.4162, kb_relative_information_score: 210.4191, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5515, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.971, scimark_benchmark: 1364.991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.5515, kappa: 0.4263, kb_relative_information_score: 208.4185, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5688, predictive_accuracy: 0.5603, prior_entropy: 2.5035, recall: 0.5603, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8751, scimark_benchmark: 1253.0071, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.5567, kappa: 0.4304, kb_relative_information_score: 209.0061, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.568, predictive_accuracy: 0.5644, prior_entropy: 2.5035, recall: 0.5644, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.8508, scimark_benchmark: 1331.0047, usercpu_time_millis: 2350, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1354.7111, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1330.6748, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 205.2909, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.8743, scimark_benchmark: 1336.4564, usercpu_time_millis: 460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1338.7159, usercpu_time_millis: 830, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.5344, kappa: 0.4159, kb_relative_information_score: 198.0866, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5539, predictive_accuracy: 0.5501, prior_entropy: 2.5035, recall: 0.5501, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8877, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.369, kappa: 0.2167, kb_relative_information_score: 132.6423, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.4623, predictive_accuracy: 0.4438, prior_entropy: 2.5035, recall: 0.4438, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.1981, scimark_benchmark: 1382.5085, usercpu_time_millis: 680, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.369, kappa: 0.2167, kb_relative_information_score: 132.6423, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.4623, predictive_accuracy: 0.4438, prior_entropy: 2.5035, recall: 0.4438, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.1981, scimark_benchmark: 1317.5857, usercpu_time_millis: 700, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1347.993, usercpu_time_millis: 820, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 206.6273, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.8749, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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