Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 253 Supervised Classification cmc 299 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.003, build_memory: 2019985496, f_measure: 0.4135, kappa: 0.0836, kb_relative_information_score: 76.9084, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4129, predictive_accuracy: 0.4177, prior_entropy: 1.5392, recall: 0.4177, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6231, root_relative_squared_error: 1.3476, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.002, build_memory: 1062638048, f_measure: 0.4135, kappa: 0.0836, kb_relative_information_score: 76.9084, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4129, predictive_accuracy: 0.4177, prior_entropy: 1.5392, recall: 0.4177, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6231, root_relative_squared_error: 1.3476, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.002, build_memory: 490151224, f_measure: 0.4135, kappa: 0.0836, kb_relative_information_score: 76.9084, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4129, predictive_accuracy: 0.4177, prior_entropy: 1.5392, recall: 0.4177, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6231, root_relative_squared_error: 1.3476, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.032, build_memory: 2060898952, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.031, build_memory: 259513624, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.051, build_memory: 167159560, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.052, build_memory: 1342453368, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.035, build_memory: 704323728, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 1.036, build_memory: 30456528, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 0.991, build_memory: 666304288, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 1.254, build_memory: 90158528, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 1.306, build_memory: 461750576, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 0.937, build_memory: 48206160, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, build_cpu_time: 31.71, build_memory: 150750248, f_measure: 0.4855, kappa: 0.1992, kb_relative_information_score: 125.6593, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4857, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.1839, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, build_cpu_time: 20.68, build_memory: 693092160, f_measure: 0.4779, kappa: 0.1871, kb_relative_information_score: 123.3638, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4787, predictive_accuracy: 0.4774, prior_entropy: 1.5392, recall: 0.4774, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.1816, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, build_cpu_time: 12.31, build_memory: 158981352, f_measure: 0.4813, kappa: 0.195, kb_relative_information_score: 125.2521, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4844, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5305, root_relative_squared_error: 1.1475, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 1.552, build_memory: 1251960384, f_measure: 0.5297, kappa: 0.2709, kb_relative_information_score: 40.4351, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5728, predictive_accuracy: 0.5288, prior_entropy: 1.5392, recall: 0.5288, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9745, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 1.568, build_memory: 1016404424, f_measure: 0.5297, kappa: 0.2709, kb_relative_information_score: 40.4351, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5728, predictive_accuracy: 0.5288, prior_entropy: 1.5392, recall: 0.5288, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9745, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 1.527, build_memory: 86119080, f_measure: 0.5297, kappa: 0.2709, kb_relative_information_score: 40.4351, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5728, predictive_accuracy: 0.5288, prior_entropy: 1.5392, recall: 0.5288, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9745, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.13, build_memory: 60101640, f_measure: 0.5248, kappa: 0.2657, kb_relative_information_score: 76.7627, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.551, predictive_accuracy: 0.5473, prior_entropy: 1.5392, recall: 0.5473, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.966, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.077, build_memory: 671487240, f_measure: 0.5248, kappa: 0.2657, kb_relative_information_score: 76.7627, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.551, predictive_accuracy: 0.5473, prior_entropy: 1.5392, recall: 0.5473, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.966, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.075, build_memory: 193606272, f_measure: 0.5248, kappa: 0.2657, kb_relative_information_score: 76.7627, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.551, predictive_accuracy: 0.5473, prior_entropy: 1.5392, recall: 0.5473, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.966, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.077, build_memory: 405949528, f_measure: 0.5248, kappa: 0.2657, kb_relative_information_score: 76.7627, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.551, predictive_accuracy: 0.5473, prior_entropy: 1.5392, recall: 0.5473, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.966, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.082, build_memory: 287546888, f_measure: 0.5248, kappa: 0.2657, kb_relative_information_score: 76.7627, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.551, predictive_accuracy: 0.5473, prior_entropy: 1.5392, recall: 0.5473, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.966, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, build_cpu_time: 0.209, build_memory: 95165624, f_measure: 0.4909, kappa: 0.2059, kb_relative_information_score: 124.3064, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4889, predictive_accuracy: 0.4938, prior_entropy: 1.5392, recall: 0.4938, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0916, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, build_cpu_time: 0.267, build_memory: 356345560, f_measure: 0.4994, kappa: 0.2181, kb_relative_information_score: 131.3677, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4989, predictive_accuracy: 0.5, prior_entropy: 1.5392, recall: 0.5, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.1287, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, build_cpu_time: 0.477, build_memory: 662631432, f_measure: 0.5018, kappa: 0.2226, kb_relative_information_score: 132.3472, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5016, predictive_accuracy: 0.5021, prior_entropy: 1.5392, recall: 0.5021, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.1294, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, build_cpu_time: 0.288, build_memory: 123107552, f_measure: 0.5018, kappa: 0.2226, kb_relative_information_score: 132.3472, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5016, predictive_accuracy: 0.5021, prior_entropy: 1.5392, recall: 0.5021, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.1294, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, build_cpu_time: 0.601, build_memory: 68350384, f_measure: 0.5018, kappa: 0.2226, kb_relative_information_score: 132.3472, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5016, predictive_accuracy: 0.5021, prior_entropy: 1.5392, recall: 0.5021, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.1294, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, build_cpu_time: 4.963, build_memory: 641341416, f_measure: 0.4304, kappa: 0.1141, kb_relative_information_score: 87.7745, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4315, predictive_accuracy: 0.43, prior_entropy: 1.5392, recall: 0.43, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.3173, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, build_cpu_time: 4.667, build_memory: 1187097312, f_measure: 0.4304, kappa: 0.1141, kb_relative_information_score: 87.7745, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4315, predictive_accuracy: 0.43, prior_entropy: 1.5392, recall: 0.43, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.3173, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, build_cpu_time: 4.482, build_memory: 234865912, f_measure: 0.4304, kappa: 0.1141, kb_relative_information_score: 87.7745, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4315, predictive_accuracy: 0.43, prior_entropy: 1.5392, recall: 0.43, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.3173, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, build_cpu_time: 0.006, build_memory: 104393256, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, build_cpu_time: 0.004, build_memory: 492153024, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, build_cpu_time: 18.289, build_memory: 680665544, f_measure: 0.5219, kappa: 0.2518, kb_relative_information_score: 152.3789, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5204, predictive_accuracy: 0.5247, prior_entropy: 1.5392, recall: 0.5247, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0888, scimark_benchmark: 901.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, build_cpu_time: 15.646, build_memory: 2118892688, f_measure: 0.5175, kappa: 0.2452, kb_relative_information_score: 152.8014, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5155, predictive_accuracy: 0.5206, prior_entropy: 1.5392, recall: 0.5206, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0856, scimark_benchmark: 901.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, build_cpu_time: 8.706, build_memory: 636091384, f_measure: 0.5206, kappa: 0.2514, kb_relative_information_score: 147.3721, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.519, predictive_accuracy: 0.5226, prior_entropy: 1.5392, recall: 0.5226, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0763, scimark_benchmark: 943.5054,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, build_cpu_time: 0.022, build_memory: 743055656, f_measure: 0.4601, kappa: 0.2175, kb_relative_information_score: 46.8799, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4556, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9582, scimark_benchmark: 943.0515,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, build_cpu_time: 0.009, build_memory: 1542772632, f_measure: 0.4736, kappa: 0.2115, kb_relative_information_score: 46.8175, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5208, predictive_accuracy: 0.5082, prior_entropy: 1.5392, recall: 0.5082, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9586, scimark_benchmark: 941.4198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, build_cpu_time: 12.691, build_memory: 2070266680, f_measure: 0.5116, kappa: 0.2397, kb_relative_information_score: 117.9142, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5082, prior_entropy: 1.5392, recall: 0.5082, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0129, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, build_cpu_time: 26.506, build_memory: 387138984, f_measure: 0.514, kappa: 0.2432, kb_relative_information_score: 114.9067, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5192, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.0004, scimark_benchmark: 939.4026,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, build_cpu_time: 97.92, build_memory: 874606912, f_measure: 0.5089, kappa: 0.2341, kb_relative_information_score: 115.5394, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5097, predictive_accuracy: 0.5082, prior_entropy: 1.5392, recall: 0.5082, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 941.7462,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 15.143, build_memory: 333944272, f_measure: 0.5367, kappa: 0.2815, kb_relative_information_score: 84.7241, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5449, predictive_accuracy: 0.5514, prior_entropy: 1.5392, recall: 0.5514, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.939, scimark_benchmark: 910.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, build_cpu_time: 1.857, build_memory: 307817544, f_measure: 0.5368, kappa: 0.2757, kb_relative_information_score: 116.6986, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5373, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9505, scimark_benchmark: 945.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, build_cpu_time: 1.168, build_memory: 561236920, f_measure: 0.5309, kappa: 0.2666, kb_relative_information_score: 116.1848, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5316, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9532, scimark_benchmark: 921.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, build_cpu_time: 0.79, build_memory: 148423448, f_measure: 0.5327, kappa: 0.2693, kb_relative_information_score: 118.1909, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5331, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9547, scimark_benchmark: 923.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, build_cpu_time: 0.636, build_memory: 65537552, f_measure: 0.5327, kappa: 0.2693, kb_relative_information_score: 118.1909, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5331, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9547, scimark_benchmark: 921.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, build_cpu_time: 0.626, build_memory: 218084504, f_measure: 0.5327, kappa: 0.2693, kb_relative_information_score: 118.1909, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5331, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9547, scimark_benchmark: 929.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, build_cpu_time: 0.266, build_memory: 2524470328, f_measure: 0.5368, kappa: 0.2761, kb_relative_information_score: 120.3432, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5399, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9554, scimark_benchmark: 940.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, build_cpu_time: 0.017, build_memory: 1197640496, f_measure: 0.4845, kappa: 0.1928, kb_relative_information_score: 106.7478, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4845, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0528, scimark_benchmark: 946.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, build_cpu_time: 0.015, build_memory: 571840784, f_measure: 0.4845, kappa: 0.1928, kb_relative_information_score: 106.7478, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4845, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0528, scimark_benchmark: 947.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, build_cpu_time: 0.016, build_memory: 1129629088, f_measure: 0.4845, kappa: 0.1928, kb_relative_information_score: 106.7478, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4845, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0528, scimark_benchmark: 948.7591,

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