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: 0.992, 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: 0.992, build_cpu_time: 0.0535, build_memory: 213708520.9265, 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: 940.3415,
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,
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: 0.9968, 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: 0.9668, build_cpu_time: 0.1902, build_memory: 130712064.392, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, build_cpu_time: 0.413, build_memory: 704621282.3341, f_measure: 0.8926, kappa: 0.7681, kb_relative_information_score: -477.7774, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8706, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 1.6725, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.2166, scimark_benchmark: 943.1817,
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: 0.9996, build_cpu_time: 0.1531, build_memory: 329014015.0111, 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: 943.1817,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 2.7912, build_memory: 607648943.5278, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 864.8129, mean_absolute_error: 0.0019, 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: 0.0143, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1614, scimark_benchmark: 919.966,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 9.7506, build_memory: 1070464174.4232, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2331, 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: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 911.2061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 20.6422, build_memory: 1006331073.6303, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2409, 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: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.0203, build_memory: 447894237.9421, 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: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.017, build_memory: 307743517.7194, 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: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.0928, build_memory: 124058483.0111, 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: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.1027, build_memory: 902143863.1804, 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: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.448, build_memory: 466045231.5813, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, 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: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.4107, build_memory: 2950087156.5434, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, 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: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.3707, build_memory: 708395683.5991, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2406, 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: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.2172, build_memory: 48961796.0713, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2408, 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: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.1512, build_memory: 666584725.0601, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 870.6026, mean_absolute_error: 0.0013, 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: 0.0096, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1317, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.4438, build_memory: 1526026183.8753, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 865.6896, mean_absolute_error: 0.0018, 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: 0.0135, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1572, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.5616, build_memory: 459293808.2494, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.7, build_memory: 1264515687.4477, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.6806, build_memory: 849226793.3096, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 61.2106, build_memory: 1234871943.9466, f_measure: 0.9954, kappa: 0.9889, kb_relative_information_score: 865.7482, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9957, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1492, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 26.8187, build_memory: 805308546.3608, f_measure: 0.9954, kappa: 0.9889, kb_relative_information_score: 865.3852, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9957, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.1505, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 15.873, build_memory: 950076355.2962, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 863.9552, mean_absolute_error: 0.0018, 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: 0.0134, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1614, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 8.239, build_memory: 145274398.9844, f_measure: 0.9932, kappa: 0.9834, kb_relative_information_score: 861.4688, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1832, scimark_benchmark: 942.5053,
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: 0.9942, 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: 0.9942, build_cpu_time: 305.8177, build_memory: 55305369.6214, 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: 938.6131,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 864.8129, mean_absolute_error: 0.0019, 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: 0.0143, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1614, scimark_benchmark: 947.0793, usercpu_time_millis: 2680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, 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: 947.0793, usercpu_time_millis: 5550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, 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: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 1207.46, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, 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: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 915.2795, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2406, 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: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 947.0793, usercpu_time_millis: 440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 847.2447, mean_absolute_error: 0.0067, 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: 0.0496, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2071, scimark_benchmark: 947.9494, usercpu_time_millis: 2400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2390,
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: 1749.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, 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: 1672.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, 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: 1717.7,
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: 1743.9312, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, 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: 1751.0874, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, 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: 1811.6948, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1778.5627, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1892.7665, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, 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: 1925.6457, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9832, kappa: 0.9611, kb_relative_information_score: 831.7751, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9847, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2792, scimark_benchmark: 1925.6457, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9821, kappa: 0.9554, kb_relative_information_score: 831.0417, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9821, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2922, scimark_benchmark: 1925.6457, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.901, kappa: 0.6744, kb_relative_information_score: 548.9696, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9757, predictive_accuracy: 0.8452, prior_entropy: 1.2149, recall: 0.8452, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.8797, scimark_benchmark: 1925.6457, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9902, kappa: 0.9751, kb_relative_information_score: 855.7318, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9906, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238, scimark_benchmark: 1925.6457, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9822, kappa: 0.9555, kb_relative_information_score: 833.5891, mean_absolute_error: 0.0071, 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: 0.0526, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2713, scimark_benchmark: 1925.6457, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9802, kappa: 0.9547, kb_relative_information_score: 823.0836, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9802, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2716, scimark_benchmark: 1925.6457, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9822, kappa: 0.9554, kb_relative_information_score: 836.0688, mean_absolute_error: 0.0059, 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: 0.044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.295, scimark_benchmark: 1925.6457,
0 likes - 1 downloads - 1 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: 1925.6457, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9835, kappa: 0.9607, kb_relative_information_score: 827.2226, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.983, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2604, scimark_benchmark: 1925.6457, usercpu_time_millis: 2000, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1920,

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