Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
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  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1312.0581, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1342.6911, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 700.9239, usercpu_time_millis: 15.081, usercpu_time_millis_testing: 13.561, usercpu_time_millis_training: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9834, kappa: 0.9588, kb_relative_information_score: 835.2928, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9847, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.2914, scimark_benchmark: 961.21, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 862.4035, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1697, scimark_benchmark: 1331.2332, usercpu_time_millis: 830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.982, kappa: 0.9555, kb_relative_information_score: 812.4841, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9818, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2878, scimark_benchmark: 1151.6869, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 857.4293, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1904, scimark_benchmark: 1348.7888, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 2.8003, build_memory: 865816579.1893, f_measure: 0.978, kappa: 0.9461, kb_relative_information_score: -451.7578, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9785, predictive_accuracy: 0.9788, prior_entropy: 1.2149, recall: 0.9788, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.2027, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.2089, build_memory: 1657090280.0802, f_measure: 0.9865, kappa: 0.9668, kb_relative_information_score: 829.0746, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9864, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.242, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 15.3617, build_memory: 1762215371.0379, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.3323, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.2151, scimark_benchmark: 885.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.2508, build_memory: 2249808786.1737, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 834.1554, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1945, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.0705, build_memory: 180467887.4655, f_measure: 0.9945, kappa: 0.9861, kb_relative_information_score: 834.0761, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1972, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.0185, build_memory: 519674434.922, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 830.3004, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.2282, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1716.3086, usercpu_time_millis: 19, usercpu_time_millis_testing: 9, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1763.3883, usercpu_time_millis: 10000000, usercpu_time_millis_testing: 10000000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1765.7561, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1756.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1961.1956, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 18.4441, build_memory: 761157163.8753, f_measure: 0.9769, kappa: 0.9436, kb_relative_information_score: -451.8011, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.203, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 18.4361, build_memory: 1507134258.9042, f_measure: 0.9769, kappa: 0.9436, kb_relative_information_score: -451.8011, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.203, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1725.0504, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1725.0504, usercpu_time_millis_testing: 9, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1885.4031, usercpu_time_millis_testing: 8, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1725.0504, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1685.2054, usercpu_time_millis_testing: 8, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 4.4526, build_memory: 443402358.5835, f_measure: 0.9771, kappa: 0.9438, kb_relative_information_score: -451.822, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.6599, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.203, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 151.5256, build_memory: 52819005.5412, f_measure: 0.9945, kappa: 0.9861, kb_relative_information_score: 865.501, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1668, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, build_cpu_time: 617.5743, build_memory: 650422118.9933, f_measure: 0.9945, kappa: 0.9861, kb_relative_information_score: 865.4994, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1668, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 303.3414, build_memory: 43419107.9198, f_measure: 0.9898, kappa: 0.9749, kb_relative_information_score: 850.2867, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.2156, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 78.3509, build_memory: 471049309.7461, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 861.776, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1826, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 0.0044, build_memory: 1030337912.5167, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.1505, build_memory: 2866483903.5902, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 834.4307, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1972, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.1605, build_memory: 927060497.0601, f_measure: 0.9854, kappa: 0.9641, kb_relative_information_score: 831.1248, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2374, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 5.0617, build_memory: 1618575677.3274, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.1998, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1293, scimark_benchmark: 921.4443,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.0006, build_memory: 143437104.0802, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 846.8608, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2233, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.0519, build_memory: 112399633.7639, f_measure: 0.9832, kappa: 0.961, kb_relative_information_score: 822.6564, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.273, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.0211, build_memory: 324142426.4944, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 875.7999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.5312, build_memory: 954391522.4855, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.5052, build_memory: 593700255.8842, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 766.5883, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9551, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4564, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, build_cpu_time: 0.0266, build_memory: 1512958211.1626, f_measure: 0.8083, kappa: 0.5178, kb_relative_information_score: 391.7992, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.845, predictive_accuracy: 0.853, prior_entropy: 1.2149, recall: 0.853, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.7139, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 68.6905, build_memory: 823266739.1804, f_measure: 0.9843, kappa: 0.961, kb_relative_information_score: 837.5252, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 35.5023, build_memory: 1229270592.3118, f_measure: 0.982, kappa: 0.9553, kb_relative_information_score: 816.707, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2965, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.5518, build_memory: 2214564527.9644, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 1.24, build_memory: 876686328.8998, f_measure: 0.9719, kappa: 0.9318, kb_relative_information_score: -452.0551, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9729, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6599, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.2025, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 1.86, build_memory: 479733232.2405, f_measure: 0.9876, kappa: 0.9695, kb_relative_information_score: 851.6506, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9884, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.2264, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.0217, build_memory: 581093592.3563, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 946.8522,

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