Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4580 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0113, build_memory: 130717188, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0858, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3247, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_memory: 98553302.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_memory: 111538325.6, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 131.0591, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4466, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, build_cpu_time: 0.0077, build_memory: 142859696.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 135.2985, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.415, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0006, build_memory: 317521752, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 945.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0005, build_memory: 46952696.8, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 934.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, build_cpu_time: 0.0074, build_memory: 87946501.6, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 136.4313, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9542, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3691, scimark_benchmark: 943.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 0.015, build_memory: 4479888400, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 136.2367, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3762, scimark_benchmark: 897.8051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 0.0357, build_memory: 1095140899.2, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 136.0186, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3809, scimark_benchmark: 942.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 0.0433, build_memory: 831959282.4, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 136.3594, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.371, scimark_benchmark: 947.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 0.1826, build_memory: 46523448.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.0752, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3247, scimark_benchmark: 929.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.1212, build_memory: 250866139.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.9114, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3302, scimark_benchmark: 927.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 7.3877, build_memory: 2961394954.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.7553, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.271, scimark_benchmark: 947.2115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 3.5321, build_memory: 1580559072, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.877, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9166, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 1.8453, build_memory: 1593456810.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3738, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2648, scimark_benchmark: 946.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 1.2332, build_memory: 1281708700.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.9538, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2692, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.438, build_memory: 750687723.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8998, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2853, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 0.002, build_memory: 84029106.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.3033, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4127, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.0025, build_memory: 164853307.2, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.9837, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3995, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 0.0058, build_memory: 53696552.8, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.9289, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3998, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.0095, build_memory: 981362137.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.7239, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3988, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 0.0194, build_memory: 1537888417.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.8084, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3956, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 19.3848, build_memory: 74468345.6, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 140.4762, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2602, scimark_benchmark: 938.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9166, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0003, build_memory: 39543000.8, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1281.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, build_cpu_time: 0.0015, build_memory: 53350835.2, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9204, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, scimark_benchmark: 1281.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0073, build_memory: 44054251.2, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1281.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0013, build_memory: 54858959.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265, scimark_benchmark: 1281.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 9.6787, build_memory: 1491975556.8, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.49, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2604, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0079, build_memory: 42928400, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1434.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, build_cpu_time: 0.001, build_memory: 53622442.4, f_measure: 0.9206, kappa: 0.88, kb_relative_information_score: 130.236, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9218, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4657, scimark_benchmark: 1434.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 0.0296, build_memory: 495473799.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4616, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3216, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.017, build_memory: 368286561.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7914, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.297, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.0161, build_memory: 246116305.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7914, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.297, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0217, build_memory: 768309509.6, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4388, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.024, build_memory: 795329097.6, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4388, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0331, build_memory: 1132609004.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4388, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 938.3567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_memory: 275870689.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 892.0716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0158, build_memory: 717865640, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 0.0005, build_memory: 94840816, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, build_cpu_time: 0.0519, build_memory: 1065894464, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7855, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, build_cpu_time: 0.1427, build_memory: 615888607.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4157, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, build_cpu_time: 0.3837, build_memory: 82969854.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.0261, build_memory: 28153774.4, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0138, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3574, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0132, build_memory: 85810172, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 942.3919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0072, build_memory: 79739188.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 923.3659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, build_cpu_time: 0.0378, build_memory: 300571503.2, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9903, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4308, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, build_cpu_time: 0.0219, build_memory: 1394366586.4, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9603, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4309, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0162, build_memory: 163459332, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.7124, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4324, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, build_cpu_time: 0.0096, build_memory: 223665871.2, f_measure: 0.9273, kappa: 0.89, kb_relative_information_score: 135.6223, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9288, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4534, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, build_cpu_time: 0.0057, build_memory: 900663416, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.4734, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4337, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 0.0164, build_memory: 1452069830.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.6476, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3196, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.0181, build_memory: 1436976034.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.6604, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3196, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.0283, build_memory: 855006322.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.6066, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3349, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, build_cpu_time: 0.0278, build_memory: 330422492.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.2919, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3495, scimark_benchmark: 945.0532,

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