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Function: require_once

OpenML
Task
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 102456 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

102456 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 15.4226, build_memory: 304514265.8483, f_measure: 0.8366, kappa: 0.5534, kb_relative_information_score: 1966.912, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8349, predictive_accuracy: 0.8402, prior_entropy: 0.8085, recall: 0.8402, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7991, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 13.1895, build_memory: 2313320011.6686, f_measure: 0.8366, kappa: 0.5534, kb_relative_information_score: 1966.912, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8349, predictive_accuracy: 0.8402, prior_entropy: 0.8085, recall: 0.8402, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7991, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 12.84, build_memory: 453749877.2784, f_measure: 0.8365, kappa: 0.5531, kb_relative_information_score: 1967.1244, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8348, predictive_accuracy: 0.8402, prior_entropy: 0.8085, recall: 0.8402, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7987, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, build_cpu_time: 12.695, build_memory: 1382707609.0399, f_measure: 0.8336, kappa: 0.5442, kb_relative_information_score: 1954.3194, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8318, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8006, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 8.6782, build_memory: 428413059.1705, f_measure: 0.8346, kappa: 0.5466, kb_relative_information_score: 1928.259, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8329, predictive_accuracy: 0.8389, prior_entropy: 0.8085, recall: 0.8389, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.8002, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, build_cpu_time: 6.9317, build_memory: 783818096.7523, f_measure: 0.8155, kappa: 0.5003, kb_relative_information_score: 2084.5185, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8139, predictive_accuracy: 0.8176, prior_entropy: 0.8085, recall: 0.8176, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9417, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 12.3258, build_memory: 552849391.2109, f_measure: 0.8188, kappa: 0.5075, kb_relative_information_score: 2141.5021, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8169, predictive_accuracy: 0.8216, prior_entropy: 0.8085, recall: 0.8216, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9527, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, build_cpu_time: 24.7994, build_memory: 972149237.0276, f_measure: 0.8231, kappa: 0.5154, kb_relative_information_score: 2215.4894, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.821, predictive_accuracy: 0.8275, prior_entropy: 0.8085, recall: 0.8275, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9497, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, build_cpu_time: 52.0128, build_memory: 827425125.3678, f_measure: 0.8268, kappa: 0.5259, kb_relative_information_score: 2245.2099, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8248, predictive_accuracy: 0.831, prior_entropy: 0.8085, recall: 0.831, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9473, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 101.2711, build_memory: 680640002.9811, f_measure: 0.8263, kappa: 0.5242, kb_relative_information_score: 2250.5968, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8243, predictive_accuracy: 0.8308, prior_entropy: 0.8085, recall: 0.8308, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.41, root_relative_squared_error: 0.9492, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, build_cpu_time: 3.7233, build_memory: 214115227.3862, f_measure: 0.7678, kappa: 0.3735, kb_relative_information_score: 1408.6801, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7663, predictive_accuracy: 0.7694, prior_entropy: 0.8085, recall: 0.7694, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.1115, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, build_cpu_time: 2.74, build_memory: 237820056.9101, f_measure: 0.7678, kappa: 0.3735, kb_relative_information_score: 1408.6801, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7663, predictive_accuracy: 0.7694, prior_entropy: 0.8085, recall: 0.7694, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.1115, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, build_cpu_time: 23.3226, build_memory: 2367725626.3604, f_measure: 0.8068, kappa: 0.4754, kb_relative_information_score: 1986.1297, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8048, predictive_accuracy: 0.8095, prior_entropy: 0.8085, recall: 0.8095, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9397, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, build_cpu_time: 0.2723, build_memory: 1163448366.6602, f_measure: 0.645, kappa: -0.0013, kb_relative_information_score: 1042.5514, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5652, predictive_accuracy: 0.7512, prior_entropy: 0.8085, recall: 0.7512, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.1402, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, build_cpu_time: 11.0736, build_memory: 399317185.1223, f_measure: 0.8399, kappa: 0.5592, kb_relative_information_score: 1964.9239, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8387, predictive_accuracy: 0.845, prior_entropy: 0.8085, recall: 0.845, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7788, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, build_cpu_time: 0.6629, build_memory: 381775090.9706, f_measure: 0.8177, kappa: 0.544, kb_relative_information_score: 1663.8371, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8398, predictive_accuracy: 0.8091, prior_entropy: 0.8085, recall: 0.8091, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.8388, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 2.8048, build_memory: 475391631.9667, f_measure: 0.8401, kappa: 0.5587, kb_relative_information_score: 1820.9817, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8393, predictive_accuracy: 0.8459, prior_entropy: 0.8085, recall: 0.8459, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7658, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, build_cpu_time: 1.1913, build_memory: 150999395.7562, f_measure: 0.8292, kappa: 0.5258, kb_relative_information_score: 1546.6446, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.829, predictive_accuracy: 0.8371, prior_entropy: 0.8085, recall: 0.8371, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.834, scimark_benchmark: 945.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, build_cpu_time: 0.0006, build_memory: 212327934.5883, f_measure: 0.7678, kappa: 0.3735, kb_relative_information_score: 1408.6801, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7663, predictive_accuracy: 0.7694, prior_entropy: 0.8085, recall: 0.7694, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.1115, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, build_cpu_time: 27.5083, build_memory: 96094480.4437, f_measure: 0.8015, kappa: 0.4447, kb_relative_information_score: 2011.8398, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8012, predictive_accuracy: 0.8135, prior_entropy: 0.8085, recall: 0.8135, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9999, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, build_cpu_time: 3.9149, build_memory: 877317948.2052, f_measure: 0.8313, kappa: 0.5335, kb_relative_information_score: 2344.3395, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8302, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9324, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, build_cpu_time: 0.8663, build_memory: 215192510.0359, f_measure: 0.8376, kappa: 0.556, kb_relative_information_score: 2392.2674, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8359, predictive_accuracy: 0.8413, prior_entropy: 0.8085, recall: 0.8413, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9223, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.424, build_memory: 109553823.3038, f_measure: 0.835, kappa: 0.5454, kb_relative_information_score: 1851.3292, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8336, predictive_accuracy: 0.8404, prior_entropy: 0.8085, recall: 0.8404, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7634, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, build_cpu_time: 0.0656, build_memory: 93575350.434, f_measure: 0.8253, kappa: 0.5281, kb_relative_information_score: 2083.4381, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8241, predictive_accuracy: 0.8268, prior_entropy: 0.8085, recall: 0.8268, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8624, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, build_cpu_time: 1.621, build_memory: 798513458.6199, f_measure: 0.844, kappa: 0.5669, kb_relative_information_score: 1941.9855, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8447, predictive_accuracy: 0.8512, prior_entropy: 0.8085, recall: 0.8512, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7586, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, build_cpu_time: 0.278, build_memory: 169022353.338, f_measure: 0.8167, kappa: 0.485, kb_relative_information_score: 1516.0122, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8201, predictive_accuracy: 0.8295, prior_entropy: 0.8085, recall: 0.8295, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.8128, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, build_cpu_time: 0.0401, build_memory: 308389198.9443, f_measure: 0.7392, kappa: 0.251, kb_relative_information_score: 1760.2183, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8224, predictive_accuracy: 0.795, prior_entropy: 0.8085, recall: 0.795, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0481, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, build_cpu_time: 0.0488, build_memory: 379880835.8474, f_measure: 0.7392, kappa: 0.251, kb_relative_information_score: 1760.2183, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8224, predictive_accuracy: 0.795, prior_entropy: 0.8085, recall: 0.795, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0481, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, build_cpu_time: 0.4584, build_memory: 448988094.8286, f_measure: 0.8263, kappa: 0.5195, kb_relative_information_score: 1871.0978, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8251, predictive_accuracy: 0.8332, prior_entropy: 0.8085, recall: 0.8332, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.8353, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, build_cpu_time: 0.0009, build_memory: 481096486.4603, f_measure: 0.6454, kb_relative_information_score: -0.5002, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, build_cpu_time: 0.0406, build_memory: 93596300.4735, f_measure: 0.8253, kappa: 0.5281, kb_relative_information_score: 2083.4381, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8241, predictive_accuracy: 0.8268, prior_entropy: 0.8085, recall: 0.8268, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8624, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, build_cpu_time: 0.021, build_memory: 65012337.438, f_measure: 0.752, kappa: 0.2931, kb_relative_information_score: 1550.5338, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7561, predictive_accuracy: 0.7797, prior_entropy: 0.8085, recall: 0.7797, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.0867, scimark_benchmark: 928.5046,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, build_cpu_time: 20.2769, build_memory: 2070380353.2784, f_measure: 0.8341, kappa: 0.5401, kb_relative_information_score: 2380.9488, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8338, predictive_accuracy: 0.8413, prior_entropy: 0.8085, recall: 0.8413, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.8944, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, build_cpu_time: 0.0217, build_memory: 2614970277.1136, f_measure: 0.6642, kappa: 0.0483, kb_relative_information_score: 609.7828, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7999, predictive_accuracy: 0.7595, prior_entropy: 0.8085, recall: 0.7595, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8885, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 0.0106, build_memory: 1481073363.5511, f_measure: 0.6642, kappa: 0.0472, kb_relative_information_score: 597.899, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7645, predictive_accuracy: 0.7582, prior_entropy: 0.8085, recall: 0.7582, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8904, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 110.106, build_memory: 1882196470.5182, f_measure: 0.829, kappa: 0.5332, kb_relative_information_score: 1838.6511, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8271, predictive_accuracy: 0.8325, prior_entropy: 0.8085, recall: 0.8325, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7995, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 232.1466, build_memory: 1019494781.0855, f_measure: 0.8331, kappa: 0.543, kb_relative_information_score: 1860.6702, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8314, predictive_accuracy: 0.8374, prior_entropy: 0.8085, recall: 0.8374, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.787, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, build_cpu_time: 481.8262, build_memory: 284235805.7606, f_measure: 0.8356, kappa: 0.5496, kb_relative_information_score: 1878.7382, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8339, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7802, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, build_cpu_time: 971.5109, build_memory: 663229692.4875, f_measure: 0.8358, kappa: 0.549, kb_relative_information_score: 1889.0637, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8343, predictive_accuracy: 0.8406, prior_entropy: 0.8085, recall: 0.8406, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7769, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 1918.2068, build_memory: 1214982717.9044, f_measure: 0.8379, kappa: 0.5547, kb_relative_information_score: 1883.863, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8364, predictive_accuracy: 0.8426, prior_entropy: 0.8085, recall: 0.8426, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7758, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 137.5291, build_memory: 2883643594.32, f_measure: 0.844, kappa: 0.5695, kb_relative_information_score: 2473.8897, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8433, predictive_accuracy: 0.8496, prior_entropy: 0.8085, recall: 0.8496, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8571, scimark_benchmark: 941.2105,
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: 0.8951, build_cpu_time: 42.9, build_memory: 734541873.3854, f_measure: 0.844, kappa: 0.5704, kb_relative_information_score: 2467.7974, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8431, predictive_accuracy: 0.8492, prior_entropy: 0.8085, recall: 0.8492, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.8645, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 20.4976, build_memory: 81500833.4222, f_measure: 0.8413, kappa: 0.5635, kb_relative_information_score: 2440.4082, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8402, predictive_accuracy: 0.8463, prior_entropy: 0.8085, recall: 0.8463, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8609, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 10.2519, build_memory: 452487347.5002, f_measure: 0.8398, kappa: 0.5576, kb_relative_information_score: 2429.5157, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.839, predictive_accuracy: 0.8457, prior_entropy: 0.8085, recall: 0.8457, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.8788, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, build_cpu_time: 215.5081, build_memory: 507405718.3323, f_measure: 0.8355, kappa: 0.5377, kb_relative_information_score: 1730.2178, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8412, predictive_accuracy: 0.847, prior_entropy: 0.8085, recall: 0.847, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7752, scimark_benchmark: 946.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 502.0991, build_memory: 542471365.2398, f_measure: 0.8374, kappa: 0.543, kb_relative_information_score: 1727.9935, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8433, predictive_accuracy: 0.8488, prior_entropy: 0.8085, recall: 0.8488, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7742, scimark_benchmark: 842.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, build_cpu_time: 54.5287, build_memory: 1058798853.3608, f_measure: 0.8419, kappa: 0.563, kb_relative_information_score: 1968.1953, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8415, predictive_accuracy: 0.8481, prior_entropy: 0.8085, recall: 0.8481, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7576, scimark_benchmark: 943.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 17.3932, build_memory: 271632430.3814, f_measure: 0.8427, kappa: 0.5663, kb_relative_information_score: 1972.2987, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8418, predictive_accuracy: 0.8481, prior_entropy: 0.8085, recall: 0.8481, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7592, scimark_benchmark: 938.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, build_cpu_time: 6.8837, build_memory: 816909425.68, f_measure: 0.8413, kappa: 0.5629, kb_relative_information_score: 1964.5601, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8402, predictive_accuracy: 0.8466, prior_entropy: 0.8085, recall: 0.8466, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7641, scimark_benchmark: 926.354,

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