Task
Supervised Classification on ar5

Supervised Classification on ar5

Task 3912 Supervised Classification ar5 508 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, build_cpu_time: 0.0138, build_memory: 382166169.5556, f_measure: 0.8095, kappa: 0.4615, kb_relative_information_score: 13.1715, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8148, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0212, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, build_cpu_time: 0.0143, build_memory: 1515826294.6667, f_measure: 0.8095, kappa: 0.4615, kb_relative_information_score: 13.1715, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8148, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0212, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, build_cpu_time: 0.0157, build_memory: 507516285.3333, f_measure: 0.8095, kappa: 0.4615, kb_relative_information_score: 13.1715, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8148, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0212, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, build_cpu_time: 0.1771, build_memory: 1606711689.7778, f_measure: 0.9184, kappa: 0.7692, kb_relative_information_score: 24.4557, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.9218, predictive_accuracy: 0.9167, prior_entropy: 0.7897, recall: 0.9167, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7009, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, build_cpu_time: 0.2872, build_memory: 1059084025.7778, f_measure: 0.8889, kappa: 0.6786, kb_relative_information_score: 22.4353, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.7897, recall: 0.8889, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.7463, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.4147, build_memory: 33533503.5556, f_measure: 0.8333, kappa: 0.5179, kb_relative_information_score: 15.1932, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.9893, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, build_cpu_time: 0.7604, build_memory: 879899624.4444, f_measure: 0.8333, kappa: 0.5179, kb_relative_information_score: 15.2219, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9914, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, build_cpu_time: 3.0795, build_memory: 43690871.3333, f_measure: 0.8639, kappa: 0.6154, kb_relative_information_score: 19.0296, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8683, predictive_accuracy: 0.8611, prior_entropy: 0.7897, recall: 0.8611, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.897, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 1.295, build_memory: 206988851.1111, f_measure: 0.8639, kappa: 0.6154, kb_relative_information_score: 16.5316, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8683, predictive_accuracy: 0.8611, prior_entropy: 0.7897, recall: 0.8611, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9304, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, build_cpu_time: 0.7674, build_memory: 1551808374.8889, f_measure: 0.8577, kappa: 0.5794, kb_relative_information_score: 18.8132, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.856, predictive_accuracy: 0.8611, prior_entropy: 0.7897, recall: 0.8611, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.8963, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, build_cpu_time: 0.3041, build_memory: 1224875361.3333, f_measure: 0.8333, kappa: 0.5179, kb_relative_information_score: 15.9748, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.9685, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, build_cpu_time: 0.1499, build_memory: 807450556, f_measure: 0.8095, kappa: 0.4615, kb_relative_information_score: 12.7149, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8148, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0247, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, build_cpu_time: 0.0615, build_memory: 579884575.1111, f_measure: 0.8577, kappa: 0.5794, kb_relative_information_score: 19.1829, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.856, predictive_accuracy: 0.8611, prior_entropy: 0.7897, recall: 0.8611, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.8838, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, build_cpu_time: 0.1315, build_memory: 289115260, f_measure: 0.8639, kappa: 0.6154, kb_relative_information_score: 20.2561, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8683, predictive_accuracy: 0.8611, prior_entropy: 0.7897, recall: 0.8611, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.833, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, build_cpu_time: 1.0248, build_memory: 199115403.3333, f_measure: 0.8333, kappa: 0.5179, kb_relative_information_score: 16.1261, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.9813, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.0114, build_memory: 243476972.2222, f_measure: 0.8243, kappa: 0.4706, kb_relative_information_score: 15.8936, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8222, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9593, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.0087, build_memory: 767695354, f_measure: 0.8243, kappa: 0.4706, kb_relative_information_score: 15.8936, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8222, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9593, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.0074, build_memory: 1770935013.3333, f_measure: 0.8243, kappa: 0.4706, kb_relative_information_score: 15.8936, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8222, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9593, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, build_cpu_time: 0.0113, build_memory: 340774937.1111, f_measure: 0.8243, kappa: 0.4706, kb_relative_information_score: 15.8862, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8222, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.96, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.006, build_memory: 727786987.5556, f_measure: 0.8243, kappa: 0.4706, kb_relative_information_score: 16.9352, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8222, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9141, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.0045, build_memory: 467586738.6667, f_measure: 0.7778, kappa: 0.3571, kb_relative_information_score: 10.404, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.1011, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, build_cpu_time: 0.0084, build_memory: 1413179037.3333, f_measure: 0.7778, kappa: 0.3571, kb_relative_information_score: 9.8518, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1332, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, build_cpu_time: 0.015, build_memory: 1293161130.6667, f_measure: 0.7778, kappa: 0.3571, kb_relative_information_score: 9.8518, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1332, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, build_cpu_time: 0.0124, build_memory: 970219147.5556, f_measure: 0.7778, kappa: 0.3571, kb_relative_information_score: 9.8518, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1332, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, build_cpu_time: 0.0172, build_memory: 248353599.1111, f_measure: 0.7778, kappa: 0.3571, kb_relative_information_score: 9.8518, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1332, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, build_cpu_time: 0.0176, build_memory: 219746286, f_measure: 0.8095, kappa: 0.4615, kb_relative_information_score: 11.8162, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8148, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0309, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, build_cpu_time: 0.0039, build_memory: 508758238.2222, f_measure: 0.8095, kappa: 0.4615, kb_relative_information_score: 11.8162, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8148, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0309, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, build_cpu_time: 0.0781, build_memory: 113239114, f_measure: 0.8333, kappa: 0.5179, kb_relative_information_score: 16.2007, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9741, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, build_cpu_time: 0.3229, build_memory: 101710408.2222, f_measure: 0.7657, kappa: 0.2941, kb_relative_information_score: 10.4159, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7593, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.1025, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, build_cpu_time: 0.122, build_memory: 966769485.1111, f_measure: 0.8008, kappa: 0.4112, kb_relative_information_score: 12.9997, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7975, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.441, root_relative_squared_error: 1.06, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, build_cpu_time: 0.0779, build_memory: 1629261720.6667, f_measure: 0.8008, kappa: 0.4112, kb_relative_information_score: 12.9101, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7975, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0596, scimark_benchmark: 930.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, build_cpu_time: 0.028, build_memory: 1179611737.1111, f_measure: 0.8008, kappa: 0.4112, kb_relative_information_score: 11.9886, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7975, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.0655, scimark_benchmark: 941.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2679, build_cpu_time: 0.0192, build_memory: 1478078663.1111, f_measure: 0.4575, kappa: -0.3796, kb_relative_information_score: -30.7495, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.5072, predictive_accuracy: 0.4167, prior_entropy: 0.7897, recall: 0.4167, relative_absolute_error: 1.6488, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.7638, root_relative_squared_error: 1.836, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, build_cpu_time: 0.0046, build_memory: 507416100.4444, f_measure: 0.8008, kappa: 0.4112, kb_relative_information_score: 12.3164, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7975, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.8953, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.0068, build_memory: 624460234.2222, f_measure: 0.8333, kappa: 0.5179, kb_relative_information_score: 17.2594, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.7897, recall: 0.8333, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.8725, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, build_cpu_time: 0.0104, build_memory: 758363221.7778, f_measure: 0.8486, kappa: 0.5361, kb_relative_information_score: 13.1587, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.8552, predictive_accuracy: 0.8611, prior_entropy: 0.7897, recall: 0.8611, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8007, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, build_cpu_time: 0.0014, build_memory: 988175536, f_measure: 0.8008, kappa: 0.4112, kb_relative_information_score: 10.9827, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7975, predictive_accuracy: 0.8056, prior_entropy: 0.7897, recall: 0.8056, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9646, scimark_benchmark: 936.8525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, build_cpu_time: 0.3474, build_memory: 598983597.1111, f_measure: 0.893, kappa: 0.7049, kb_relative_information_score: 14.2523, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.9034, predictive_accuracy: 0.8889, prior_entropy: 0.7897, recall: 0.8889, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.7629, scimark_benchmark: 876.9475,
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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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs