Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 1887 Supervised Classification audiology 182 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1114.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.3668, kappa: 0.275, kb_relative_information_score: 80.195, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5344, predictive_accuracy: 0.4283, prior_entropy: 3.6349, recall: 0.4283, relative_absolute_error: 1.0688, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1951, root_relative_squared_error: 1.0307, scimark_benchmark: 908.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 0.0676, build_memory: 760716902.6584, f_measure: 0.7931, kappa: 0.7876, kb_relative_information_score: 1638.7299, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7768, predictive_accuracy: 0.8181, prior_entropy: 3.6349, recall: 0.8181, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.5741, scimark_benchmark: 946.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, build_cpu_time: 0.1381, build_memory: 4494195345.4301, f_measure: 0.7957, kappa: 0.7902, kb_relative_information_score: 1643.7082, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7787, predictive_accuracy: 0.8204, prior_entropy: 3.6349, recall: 0.8204, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.5689, scimark_benchmark: 937.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, build_cpu_time: 0.2628, build_memory: 1033594560.3504, f_measure: 0.7918, kappa: 0.7861, kb_relative_information_score: 1646.8279, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7752, predictive_accuracy: 0.8168, prior_entropy: 3.6349, recall: 0.8168, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.5663, scimark_benchmark: 912.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.524, build_memory: 627868724.5381, f_measure: 0.7972, kappa: 0.7923, kb_relative_information_score: 1647.9004, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7805, predictive_accuracy: 0.8221, prior_entropy: 3.6349, recall: 0.8221, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.5656, scimark_benchmark: 945.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, build_cpu_time: 5.2655, build_memory: 1574229299.8407, f_measure: 0.7579, kappa: 0.748, kb_relative_information_score: 1534.266, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7384, predictive_accuracy: 0.785, prior_entropy: 3.6349, recall: 0.785, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.5926, scimark_benchmark: 785.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 2.7754, build_memory: 327793286.7929, f_measure: 0.761, kappa: 0.7519, kb_relative_information_score: 1533.7937, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7409, predictive_accuracy: 0.7885, prior_entropy: 3.6349, recall: 0.7885, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.5936, scimark_benchmark: 760.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4111, f_measure: 0.1016, kb_relative_information_score: -0.9309, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1895, root_relative_squared_error: 1.001, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.6961, kappa: 0.6876, kb_relative_information_score: 1353.2618, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6667, predictive_accuracy: 0.735, prior_entropy: 3.6349, recall: 0.735, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.7851, scimark_benchmark: 1335.643, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 611.8947, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7715, kappa: 0.7592, kb_relative_information_score: 1586.7463, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7544, predictive_accuracy: 0.7942, prior_entropy: 3.6349, recall: 0.7942, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.6262, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.3687, kappa: 0.2557, kb_relative_information_score: 500.8796, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7689, predictive_accuracy: 0.3142, prior_entropy: 3.6349, recall: 0.3142, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2391, root_relative_squared_error: 1.2628, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7072, kappa: 0.6796, kb_relative_information_score: 1373.9922, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6974, predictive_accuracy: 0.7265, prior_entropy: 3.6349, recall: 0.7265, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.151, root_relative_squared_error: 0.7974, scimark_benchmark: 1435.4217, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7163, kappa: 0.7039, kb_relative_information_score: 1427.1737, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6973, predictive_accuracy: 0.7473, prior_entropy: 3.6349, recall: 0.7473, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.6938, scimark_benchmark: 1321.6263, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.7047, kappa: 0.6885, kb_relative_information_score: 1433.8232, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6991, predictive_accuracy: 0.735, prior_entropy: 3.6349, recall: 0.735, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.6933, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.609, kappa: 0.5625, kb_relative_information_score: 1167.1447, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.598, predictive_accuracy: 0.627, prior_entropy: 3.6349, recall: 0.627, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.892, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 1346.9602, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 1368.9272, usercpu_time_millis: 13940, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 12950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8052, kappa: 0.7953, kb_relative_information_score: 1618.518, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7889, predictive_accuracy: 0.8252, prior_entropy: 3.6349, recall: 0.8252, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.6375, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8381, kappa: 0.8214, kb_relative_information_score: 1708.6041, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.8363, predictive_accuracy: 0.8469, prior_entropy: 3.6349, recall: 0.8469, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5517, scimark_benchmark: 1318.1432, usercpu_time_millis: 1240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.7833, kappa: 0.7721, kb_relative_information_score: 175.6207, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7758, predictive_accuracy: 0.8058, prior_entropy: 3.6349, recall: 0.8058, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0218, scimark_benchmark: 915.9324, usercpu_time_millis: 910, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.2901, kappa: 0.2713, kb_relative_information_score: 68.8676, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2767, predictive_accuracy: 0.4385, prior_entropy: 3.6349, recall: 0.4385, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1952, root_relative_squared_error: 1.0309, scimark_benchmark: 930.5999, usercpu_time_millis: 1250, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.636, kappa: 0.6203, kb_relative_information_score: 1323.9171, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.651, predictive_accuracy: 0.6827, prior_entropy: 3.6349, recall: 0.6827, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.7197, scimark_benchmark: 937.6212, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.5634, kappa: 0.5428, kb_relative_information_score: 1206.1873, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5616, predictive_accuracy: 0.6186, prior_entropy: 3.6349, recall: 0.6186, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.7641, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.7495, kappa: 0.7354, kb_relative_information_score: 1562.6847, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.74, predictive_accuracy: 0.773, prior_entropy: 3.6349, recall: 0.773, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.6378, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8301, kappa: 0.8114, kb_relative_information_score: 1698.45, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.8272, predictive_accuracy: 0.8385, prior_entropy: 3.6349, recall: 0.8385, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.5562, scimark_benchmark: 1335.4072, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.6755, kappa: 0.6573, kb_relative_information_score: 1132.9069, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.669, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.747, scimark_benchmark: 1321.527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.7053, kappa: 0.6892, kb_relative_information_score: 1381.2726, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6778, predictive_accuracy: 0.7372, prior_entropy: 3.6349, recall: 0.7372, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.7084, scimark_benchmark: 1339.4189, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6716, kappa: 0.674, kb_relative_information_score: 1295.2813, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6424, predictive_accuracy: 0.7279, prior_entropy: 3.6349, recall: 0.7279, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.7195, scimark_benchmark: 1301.9956, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7321, kappa: 0.7227, kb_relative_information_score: 1456.3628, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7283, predictive_accuracy: 0.7646, prior_entropy: 3.6349, recall: 0.7646, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.6502, scimark_benchmark: 1321.7236, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.1604, kappa: 0.049, kb_relative_information_score: 97.0604, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5176, predictive_accuracy: 0.2805, prior_entropy: 3.6349, recall: 0.2805, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.9844, scimark_benchmark: 1314.9535, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7261, kappa: 0.6976, kb_relative_information_score: 1415.9402, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7174, predictive_accuracy: 0.7412, prior_entropy: 3.6349, recall: 0.7412, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.6648, scimark_benchmark: 1331.2332, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.6949, kappa: 0.6879, kb_relative_information_score: 1148.0469, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6968, predictive_accuracy: 0.7381, prior_entropy: 3.6349, recall: 0.7381, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.7348, scimark_benchmark: 1347.5461, usercpu_time_millis: 560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1343.4596, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1342.6911, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 1342.6911, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1350.073, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 1350.073, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1360.6585, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 933.1165, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.3292, kappa: 0.3303, kb_relative_information_score: 839.5473, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2827, predictive_accuracy: 0.4801, prior_entropy: 3.6349, recall: 0.4801, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.858, scimark_benchmark: 926.6704, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 918.0213, usercpu_time_millis: 8340, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 8090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1314.7093, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 1326.8946, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 1278.6629, usercpu_time_millis: 14050, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 13050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 938.0414, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 1327.3335, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,

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