Task
Supervised Classification on rabe_148

Supervised Classification on rabe_148

Task 3757 Supervised Classification rabe_148 533 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: 0.9945, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.9838, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3743, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 1331.0755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.5635, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4827, scimark_benchmark: 1333.1945, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 52.6099, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.4977, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.276, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4156, scimark_benchmark: 1341.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7314, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3601, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 53.8743, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4068, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 53.8612, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4128, scimark_benchmark: 1366.0221, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 60.4084, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3401, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 46.8486, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4515, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.1408, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.1919, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4741, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 54.4728, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5454, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.3987, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.241, root_relative_squared_error: 0.4819, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.6193, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4414, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 50.6372, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4094, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 51.2461, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3934, scimark_benchmark: 1330.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 50.2686, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4385, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.8275, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4483, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.9813, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4431, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 53.6015, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4145, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 54.7354, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4017, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.2921, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, scimark_benchmark: 915.9693, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.2921, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.6032, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4128, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60.2907, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.201, root_relative_squared_error: 0.402, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60.1598, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4048, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 54.3452, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4236, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 54.3881, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4561, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 52.6099, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.4977, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8937, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8972, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 51.3058, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4033, scimark_benchmark: 899.5042, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7564, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3469, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.9767, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3761, scimark_benchmark: 1331.6907,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.9767, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3761, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 935.8986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505, scimark_benchmark: 799.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 0.2469, build_memory: 1311435938.1818, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.0531, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4198, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 0.1397, build_memory: 1303648676.8485, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.0399, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4197, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 0.0674, build_memory: 802079253.2121, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.0112, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4197, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, build_cpu_time: 0.0373, build_memory: 627912654.1818, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.959, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4195, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.0028, build_memory: 215889215.8788, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.2006, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.4911, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 0.0033, build_memory: 160144048.4848, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1767, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4932, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 0.0045, build_memory: 1392211645.0909, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1762, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4932, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 0.0057, build_memory: 111282998.6667, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1762, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4932, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 0.0489, build_memory: 24601541.4545, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1762, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4932, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.0034, build_memory: 576795007.2727, f_measure: 0.8939, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8943, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.0031, build_memory: 814798985.8182, f_measure: 0.8939, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8943, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.0019, build_memory: 1217261795.0303, f_measure: 0.8939, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8943, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.0006, build_memory: 2586587992, f_measure: 0.8939, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8943, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.001, build_memory: 2425938412.2424, f_measure: 0.8939, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8943, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513, scimark_benchmark: 939.084,

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