Task
Supervised Classification on ipums_la_98-small

Supervised Classification on ipums_la_98-small

Task 3516 Supervised Classification ipums_la_98-small 230 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7536, kappa: 0.5998, kb_relative_information_score: 4353.7084, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7951, predictive_accuracy: 0.7792, prior_entropy: 1.7643, recall: 0.7792, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6775, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7859, kappa: 0.6291, kb_relative_information_score: 4763.2999, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.792, predictive_accuracy: 0.794, prior_entropy: 1.7643, recall: 0.794, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6516, scimark_benchmark: 851.2074, usercpu_time_millis: 476990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 476970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 904.6764, usercpu_time_millis: 108370, usercpu_time_millis_testing: 31340, usercpu_time_millis_training: 77030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 941.6675, usercpu_time_millis: 88330, usercpu_time_millis_testing: 29150, usercpu_time_millis_training: 59180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7185, kappa: 0.4938, kb_relative_information_score: 3307.7647, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.757, predictive_accuracy: 0.6912, prior_entropy: 1.7643, recall: 0.6912, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9403, scimark_benchmark: 941.6675, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.4933, kappa: 0.012, kb_relative_information_score: 303.7851, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4503, predictive_accuracy: 0.5631, prior_entropy: 1.7643, recall: 0.5631, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0762, scimark_benchmark: 941.6675, usercpu_time_millis: 25050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 25030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7891, kappa: 0.6257, kb_relative_information_score: 4337.9249, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 1.7643, recall: 0.791, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7582, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 932.438, usercpu_time_millis: 75610, usercpu_time_millis_testing: 30040, usercpu_time_millis_training: 45570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7891, kappa: 0.6257, kb_relative_information_score: 4337.9249, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 1.7643, recall: 0.791, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7582, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7536, kappa: 0.5998, kb_relative_information_score: 4353.7084, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7951, predictive_accuracy: 0.7792, prior_entropy: 1.7643, recall: 0.7792, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6775, scimark_benchmark: 819.5729, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7859, kappa: 0.6291, kb_relative_information_score: 4763.2999, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.792, predictive_accuracy: 0.794, prior_entropy: 1.7643, recall: 0.794, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6516, scimark_benchmark: 906.5979, usercpu_time_millis: 534140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 534130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 908.9569, usercpu_time_millis: 238980, usercpu_time_millis_testing: 77310, usercpu_time_millis_training: 161670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 919.3788, usercpu_time_millis: 186770, usercpu_time_millis_testing: 44300, usercpu_time_millis_training: 142470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7185, kappa: 0.4938, kb_relative_information_score: 3307.7647, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.757, predictive_accuracy: 0.6912, prior_entropy: 1.7643, recall: 0.6912, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9403, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.4933, kappa: 0.012, kb_relative_information_score: 303.7851, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4503, predictive_accuracy: 0.5631, prior_entropy: 1.7643, recall: 0.5631, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0762, scimark_benchmark: 941.4991, usercpu_time_millis: 26780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 26760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7891, kappa: 0.6257, kb_relative_information_score: 4337.9249, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 1.7643, recall: 0.791, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7582, scimark_benchmark: 936.3213, usercpu_time_millis: 181670, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 180940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.7797, kappa: 0.6181, kb_relative_information_score: 4430.2917, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7832, predictive_accuracy: 0.7878, prior_entropy: 1.7643, recall: 0.7878, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6722, scimark_benchmark: 936.1714, usercpu_time_millis: 690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 233.0108, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 233.0108, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 233.0108, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 940.0055, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 233.0108, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 935.6052, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 233.0108, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 935.6052, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.7377, kappa: 0.5951, kb_relative_information_score: 4004.2364, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7786, predictive_accuracy: 0.7769, prior_entropy: 1.7643, recall: 0.7769, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6839, scimark_benchmark: 941.9549, usercpu_time_millis: 2900, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 3993.7691, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.7032, scimark_benchmark: 933.0918, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7536, kappa: 0.5998, kb_relative_information_score: 4353.7084, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7951, predictive_accuracy: 0.7792, prior_entropy: 1.7643, recall: 0.7792, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6775, scimark_benchmark: 907.1091, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7859, kappa: 0.6291, kb_relative_information_score: 4763.2999, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.792, predictive_accuracy: 0.794, prior_entropy: 1.7643, recall: 0.794, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6516, scimark_benchmark: 922.9595, usercpu_time_millis: 545740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 545730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 946.8777, usercpu_time_millis: 73820, usercpu_time_millis_testing: 27280, usercpu_time_millis_training: 46540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7185, kappa: 0.4938, kb_relative_information_score: 3307.7647, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.757, predictive_accuracy: 0.6912, prior_entropy: 1.7643, recall: 0.6912, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9403, scimark_benchmark: 922.5036, usercpu_time_millis: 250, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.4933, kappa: 0.012, kb_relative_information_score: 303.7851, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4503, predictive_accuracy: 0.5631, prior_entropy: 1.7643, recall: 0.5631, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0762, scimark_benchmark: 946.9304, usercpu_time_millis: 23900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 23870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7891, kappa: 0.6257, kb_relative_information_score: 4337.9249, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 1.7643, recall: 0.791, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7582, scimark_benchmark: 952.4682, usercpu_time_millis: 177090, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 176250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7536, kappa: 0.5998, kb_relative_information_score: 4353.7084, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7951, predictive_accuracy: 0.7792, prior_entropy: 1.7643, recall: 0.7792, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6775, scimark_benchmark: 946.9304, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 1556.5221, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 1299.8972, usercpu_time_millis: 204780, usercpu_time_millis_testing: 92880, usercpu_time_millis_training: 111900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7185, kappa: 0.4938, kb_relative_information_score: 3307.7647, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.757, predictive_accuracy: 0.6912, prior_entropy: 1.7643, recall: 0.6912, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9403, scimark_benchmark: 1318.6467, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7185, kappa: 0.4938, kb_relative_information_score: 3307.7647, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.757, predictive_accuracy: 0.6912, prior_entropy: 1.7643, recall: 0.6912, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9403, scimark_benchmark: 1313.8988, usercpu_time_millis: 250, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7377, kappa: 0.53, kb_relative_information_score: 3202.4948, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7415, predictive_accuracy: 0.7343, prior_entropy: 1.7643, recall: 0.7343, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9751, scimark_benchmark: 1327.5791, usercpu_time_millis: 46560, usercpu_time_millis_testing: 46560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 3993.7608, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.7032, scimark_benchmark: 1270.2428, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.5015, kb_relative_information_score: 1170.4319, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.9039, scimark_benchmark: 885.7425, usercpu_time_millis: 39820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 39720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.5015, kb_relative_information_score: 1279.3401, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8966, scimark_benchmark: 885.7425, usercpu_time_millis: 18380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 18320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7873, kappa: 0.6224, kb_relative_information_score: 4589.0199, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7862, predictive_accuracy: 0.7893, prior_entropy: 1.7643, recall: 0.7893, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.689, scimark_benchmark: 1341.4232, usercpu_time_millis: 12300, usercpu_time_millis_training: 12300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7918, kappa: 0.6296, kb_relative_information_score: 4676.1462, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7914, predictive_accuracy: 0.7933, prior_entropy: 1.7643, recall: 0.7933, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6742, scimark_benchmark: 1297.2338, usercpu_time_millis: 8470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7536, kappa: 0.5998, kb_relative_information_score: 4353.7084, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7951, predictive_accuracy: 0.7792, prior_entropy: 1.7643, recall: 0.7792, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6775, scimark_benchmark: 1339.944, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.738, kappa: 0.5307, kb_relative_information_score: 3639.8907, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7664, predictive_accuracy: 0.7193, prior_entropy: 1.7643, recall: 0.7193, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8827, scimark_benchmark: 986.8456, usercpu_time_millis: 370, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.738, kappa: 0.5307, kb_relative_information_score: 3639.8907, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7664, predictive_accuracy: 0.7193, prior_entropy: 1.7643, recall: 0.7193, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8827, scimark_benchmark: 1339.944, usercpu_time_millis: 380, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.7803, kappa: 0.6182, kb_relative_information_score: 3552.3695, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7797, predictive_accuracy: 0.789, prior_entropy: 1.7643, recall: 0.789, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7446, scimark_benchmark: 1334.8272, usercpu_time_millis: 8810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.7563, kappa: 0.5812, kb_relative_information_score: 4148.0241, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.756, predictive_accuracy: 0.7678, prior_entropy: 1.7643, recall: 0.7678, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.7304, scimark_benchmark: 1355.9413, usercpu_time_millis: 1933090, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1933020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.6672, kappa: 0.3967, kb_relative_information_score: 2133.2697, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6551, predictive_accuracy: 0.7281, prior_entropy: 1.7643, recall: 0.7281, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.8786, scimark_benchmark: 915.6729, usercpu_time_millis: 7350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.7768, kappa: 0.6002, kb_relative_information_score: 3784.4661, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7776, predictive_accuracy: 0.7764, prior_entropy: 1.7643, recall: 0.7764, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.8729, scimark_benchmark: 1329.0249, usercpu_time_millis: 377550, usercpu_time_millis_testing: 2740, usercpu_time_millis_training: 374810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7859, kappa: 0.6291, kb_relative_information_score: 4763.2999, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.792, predictive_accuracy: 0.794, prior_entropy: 1.7643, recall: 0.794, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6516, scimark_benchmark: 1329.273, usercpu_time_millis: 443110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 443100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.4966, kappa: 0.0121, kb_relative_information_score: 302.0196, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4523, predictive_accuracy: 0.5742, prior_entropy: 1.7643, recall: 0.5742, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3019, root_relative_squared_error: 1.0684, scimark_benchmark: 1345.0332, usercpu_time_millis: 393210, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 392900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.7898, kappa: 0.629, kb_relative_information_score: 4760.4299, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7912, predictive_accuracy: 0.7936, prior_entropy: 1.7643, recall: 0.7936, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6523, scimark_benchmark: 1339.4189, usercpu_time_millis: 780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.4945, kappa: 0.0092, kb_relative_information_score: 303.0616, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4507, predictive_accuracy: 0.5695, prior_entropy: 1.7643, recall: 0.5695, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3021, root_relative_squared_error: 1.0689, scimark_benchmark: 1345.5136, usercpu_time_millis: 202670, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 202520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.4937, kappa: 0.0086, kb_relative_information_score: 299.2742, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4503, predictive_accuracy: 0.567, prior_entropy: 1.7643, recall: 0.567, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3025, root_relative_squared_error: 1.0706, scimark_benchmark: 1332.0036, usercpu_time_millis: 102210, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 102100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.4934, kappa: 0.0092, kb_relative_information_score: 300.0564, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4509, predictive_accuracy: 0.5643, prior_entropy: 1.7643, recall: 0.5643, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0725, scimark_benchmark: 1329.4192, usercpu_time_millis: 53810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 53770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.7422, kappa: 0.5415, kb_relative_information_score: 3555.1352, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7418, predictive_accuracy: 0.7438, prior_entropy: 1.7643, recall: 0.7438, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.9006, scimark_benchmark: 1339.4189, usercpu_time_millis: 30560, usercpu_time_millis_testing: 30550, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.6918, kappa: 0.4548, kb_relative_information_score: 2737.8396, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6757, predictive_accuracy: 0.7229, prior_entropy: 1.7643, recall: 0.7229, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.9039, scimark_benchmark: 916.6405, usercpu_time_millis: 300, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5015, kb_relative_information_score: 0.3214, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2826, root_relative_squared_error: 1, scimark_benchmark: 912.7324, usercpu_time_millis: 440, usercpu_time_millis_testing: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.6464, kappa: 0.3851, kb_relative_information_score: -1798.0802, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6223, predictive_accuracy: 0.7031, prior_entropy: 1.7643, recall: 0.7031, relative_absolute_error: 1.504, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.2156, scimark_benchmark: 1321.6263, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 3993.7672, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.7032, scimark_benchmark: 912.5006, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.6882, kappa: 0.4649, kb_relative_information_score: 3592.9569, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.6693, predictive_accuracy: 0.7234, prior_entropy: 1.7643, recall: 0.7234, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7607, scimark_benchmark: 1321.527, usercpu_time_millis: 1280, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.7488, kappa: 0.5909, kb_relative_information_score: 4291.5214, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.7854, predictive_accuracy: 0.7762, prior_entropy: 1.7643, recall: 0.7762, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.686, scimark_benchmark: 938.343, usercpu_time_millis: 3220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.5015, kb_relative_information_score: 1188.9794, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.9029, scimark_benchmark: 1363.454, usercpu_time_millis: 7960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.79, kappa: 0.627, kb_relative_information_score: 4717.8521, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.79, predictive_accuracy: 0.792, prior_entropy: 1.7643, recall: 0.792, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.664, scimark_benchmark: 938.9967, usercpu_time_millis: 3760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.4933, kappa: 0.012, kb_relative_information_score: 303.7851, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1598, number_of_instances: 7485, precision: 0.4503, predictive_accuracy: 0.5631, prior_entropy: 1.7643, recall: 0.5631, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0762, scimark_benchmark: 889.3151, usercpu_time_millis: 25600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 25570,

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