OpenML
Supervised Classification on cpu

Supervised Classification on cpu

Task 4366 Supervised Classification cpu 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9474, kappa: 0.8601, kb_relative_information_score: 1756.4722, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9474, predictive_accuracy: 0.9478, prior_entropy: 0.8205, recall: 0.9478, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4679, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9875, kappa: 0.967, kb_relative_information_score: 1900.6919, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.8205, recall: 0.9876, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2485, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9827, kappa: 0.9541, kb_relative_information_score: 1946.5406, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9827, predictive_accuracy: 0.9828, prior_entropy: 0.8205, recall: 0.9828, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2489, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.745, kappa: 0.2811, kb_relative_information_score: 856.1123, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.8417, predictive_accuracy: 0.799, prior_entropy: 0.8205, recall: 0.799, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0304, scimark_benchmark: 944.1067, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.745, kappa: 0.2811, kb_relative_information_score: 856.1123, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.8417, predictive_accuracy: 0.799, prior_entropy: 0.8205, recall: 0.799, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0304, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9424, kappa: 0.8462, kb_relative_information_score: 1453.0182, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9425, predictive_accuracy: 0.9431, prior_entropy: 0.8205, recall: 0.9431, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.498, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9652, kappa: 0.9073, kb_relative_information_score: 1691.0328, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.8205, recall: 0.9656, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.4133, scimark_benchmark: 938.191, usercpu_time_millis: 760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9711, kappa: 0.9233, kb_relative_information_score: 1826.9784, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3693, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.745, kappa: 0.2811, kb_relative_information_score: 856.1123, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.8417, predictive_accuracy: 0.799, prior_entropy: 0.8205, recall: 0.799, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0304, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.745, kappa: 0.2811, kb_relative_information_score: 856.1123, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.8417, predictive_accuracy: 0.799, prior_entropy: 0.8205, recall: 0.799, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0304, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9631, kappa: 0.9024, kb_relative_information_score: 1693.6193, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.8205, recall: 0.9632, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3745, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9474, kappa: 0.8601, kb_relative_information_score: 1756.4722, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9474, predictive_accuracy: 0.9478, prior_entropy: 0.8205, recall: 0.9478, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4679, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9875, kappa: 0.967, kb_relative_information_score: 1900.6919, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.8205, recall: 0.9876, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2485, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9827, kappa: 0.9541, kb_relative_information_score: 1946.5406, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9827, predictive_accuracy: 0.9828, prior_entropy: 0.8205, recall: 0.9828, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2489, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.745, kappa: 0.2811, kb_relative_information_score: 856.1123, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.8417, predictive_accuracy: 0.799, prior_entropy: 0.8205, recall: 0.799, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0304, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.745, kappa: 0.2811, kb_relative_information_score: 856.1123, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.8417, predictive_accuracy: 0.799, prior_entropy: 0.8205, recall: 0.799, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0304, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9595, kappa: 0.8948, kb_relative_information_score: 1812.1682, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9617, predictive_accuracy: 0.9589, prior_entropy: 0.8205, recall: 0.9589, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4217, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9424, kappa: 0.8462, kb_relative_information_score: 1453.0182, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9425, predictive_accuracy: 0.9431, prior_entropy: 0.8205, recall: 0.9431, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.498, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9652, kappa: 0.9073, kb_relative_information_score: 1691.0328, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.8205, recall: 0.9656, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.4133, scimark_benchmark: 934.5964, usercpu_time_millis: 540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9711, kappa: 0.9233, kb_relative_information_score: 1826.9784, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3693, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9631, kappa: 0.9024, kb_relative_information_score: 1693.6193, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.8205, recall: 0.9632, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3745, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9837, kappa: 0.9571, kb_relative_information_score: 1851.7778, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9838, predictive_accuracy: 0.9837, prior_entropy: 0.8205, recall: 0.9837, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2624, scimark_benchmark: 934.695, usercpu_time_millis: 1700, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9852, kappa: 0.9609, kb_relative_information_score: 1853.0034, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.8205, recall: 0.9852, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2642, scimark_benchmark: 933.3455, usercpu_time_millis: 690, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9838, kappa: 0.9572, kb_relative_information_score: 1852.9284, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9838, predictive_accuracy: 0.9837, prior_entropy: 0.8205, recall: 0.9837, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2668, scimark_benchmark: 942.5233, usercpu_time_millis: 340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9828, kappa: 0.9546, kb_relative_information_score: 1842.7897, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.8205, recall: 0.9828, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.283, scimark_benchmark: 944.235, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.9556, kb_relative_information_score: 1848.4344, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9832, predictive_accuracy: 0.9833, prior_entropy: 0.8205, recall: 0.9833, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2844, scimark_benchmark: 935.9271, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.989, kappa: 0.9708, kb_relative_information_score: 2007.9281, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.8205, recall: 0.989, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.222, scimark_benchmark: 889.4922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9894, kappa: 0.9721, kb_relative_information_score: 2010.0695, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.8205, recall: 0.9895, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.095, root_relative_squared_error: 0.2183, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.989, kappa: 0.9708, kb_relative_information_score: 2008.8968, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.8205, recall: 0.989, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.2196, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.988, kappa: 0.9683, kb_relative_information_score: 2009.2842, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.8205, recall: 0.988, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.2054, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9871, kappa: 0.9659, kb_relative_information_score: 1987.3098, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.8205, recall: 0.9871, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.2164, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9871, kappa: 0.9659, kb_relative_information_score: 2003.7958, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.8205, recall: 0.9871, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2411, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9601, kappa: 0.8954, kb_relative_information_score: 1779.8035, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9607, predictive_accuracy: 0.9598, prior_entropy: 0.8205, recall: 0.9598, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391, scimark_benchmark: 1309.0674,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9652, kappa: 0.9073, kb_relative_information_score: 1691.0328, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.8205, recall: 0.9656, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.4133, scimark_benchmark: 1309.2287, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9711, kappa: 0.9233, kb_relative_information_score: 1826.9784, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3693, scimark_benchmark: 1358.6198, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9474, kappa: 0.8601, kb_relative_information_score: 1756.4722, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9474, predictive_accuracy: 0.9478, prior_entropy: 0.8205, recall: 0.9478, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4679, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9875, kappa: 0.967, kb_relative_information_score: 1900.6919, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.8205, recall: 0.9876, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2485, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9827, kappa: 0.9541, kb_relative_information_score: 1946.5406, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9827, predictive_accuracy: 0.9828, prior_entropy: 0.8205, recall: 0.9828, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2489, scimark_benchmark: 1325.3966, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9424, kappa: 0.8462, kb_relative_information_score: 1453.0182, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9425, predictive_accuracy: 0.9431, prior_entropy: 0.8205, recall: 0.9431, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.498, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9652, kappa: 0.9073, kb_relative_information_score: 1691.0328, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 2090, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.8205, recall: 0.9656, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.4133, scimark_benchmark: 1325.3966, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,

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