Task
Supervised Classification on wisconsin

Supervised Classification on wisconsin

Task 4324 Supervised Classification wisconsin 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4678, f_measure: 0.4527, kappa: -0.0306, kb_relative_information_score: -26.8705, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.4794, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.029, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5596, kappa: 0.1153, kb_relative_information_score: 139.8938, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.56, predictive_accuracy: 0.5593, prior_entropy: 0.9963, recall: 0.5593, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.551, kappa: 0.0972, kb_relative_information_score: 151.4639, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5509, predictive_accuracy: 0.551, prior_entropy: 0.9963, recall: 0.551, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1121, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5497, kappa: 0.0935, kb_relative_information_score: 89.5639, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5495, predictive_accuracy: 0.5521, prior_entropy: 0.9963, recall: 0.5521, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0271, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5486, kappa: 0.0929, kb_relative_information_score: 92.773, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5488, predictive_accuracy: 0.5485, prior_entropy: 0.9963, recall: 0.5485, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0788, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 944.1783, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 944.1783, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4678, f_measure: 0.4527, kappa: -0.0306, kb_relative_information_score: -26.8705, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.4794, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.029, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5596, kappa: 0.1153, kb_relative_information_score: 139.8938, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.56, predictive_accuracy: 0.5593, prior_entropy: 0.9963, recall: 0.5593, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.551, kappa: 0.0972, kb_relative_information_score: 151.4639, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5509, predictive_accuracy: 0.551, prior_entropy: 0.9963, recall: 0.551, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1121, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 940.1221, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 926.5462, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5497, kappa: 0.0935, kb_relative_information_score: 89.5639, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5495, predictive_accuracy: 0.5521, prior_entropy: 0.9963, recall: 0.5521, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0271, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 945.6228, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 901.4991, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5795, kappa: 0.155, kb_relative_information_score: 107.5796, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5797, predictive_accuracy: 0.5794, prior_entropy: 0.9963, recall: 0.5794, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9953, scimark_benchmark: 904.5548, usercpu_time_millis: 3410, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.5711, kappa: 0.1376, kb_relative_information_score: 101.0204, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5711, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9989, scimark_benchmark: 859.5223, usercpu_time_millis: 1530, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5757, kappa: 0.1468, kb_relative_information_score: 110.2988, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5756, predictive_accuracy: 0.5758, prior_entropy: 0.9963, recall: 0.5758, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9982, scimark_benchmark: 903.179, usercpu_time_millis: 630, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.5791, kappa: 0.1532, kb_relative_information_score: 103.6747, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5788, predictive_accuracy: 0.5794, prior_entropy: 0.9963, recall: 0.5794, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0055, scimark_benchmark: 933.9, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5712, kappa: 0.1373, kb_relative_information_score: 108.0932, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.571, predictive_accuracy: 0.5716, prior_entropy: 0.9963, recall: 0.5716, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0107, scimark_benchmark: 862.7006, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5488, kappa: 0.0925, kb_relative_information_score: 126.6005, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5486, predictive_accuracy: 0.549, prior_entropy: 0.9963, recall: 0.549, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1307, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5488, kappa: 0.0925, kb_relative_information_score: 126.6005, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5486, predictive_accuracy: 0.549, prior_entropy: 0.9963, recall: 0.549, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1307, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5488, kappa: 0.0925, kb_relative_information_score: 126.6005, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5486, predictive_accuracy: 0.549, prior_entropy: 0.9963, recall: 0.549, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1307, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.5457, kappa: 0.0862, kb_relative_information_score: 120.2097, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5455, predictive_accuracy: 0.5459, prior_entropy: 0.9963, recall: 0.5459, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5634, root_relative_squared_error: 1.1298, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.5567, kappa: 0.1086, kb_relative_information_score: 144.4801, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5566, predictive_accuracy: 0.5567, prior_entropy: 0.9963, recall: 0.5567, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0928, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.2409, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5479, kappa: 0.0924, kb_relative_information_score: 169.92, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5486, predictive_accuracy: 0.5474, prior_entropy: 0.9963, recall: 0.5474, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6171, root_relative_squared_error: 1.2374, scimark_benchmark: 936.1714, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5731, kappa: 0.1434, kb_relative_information_score: 227.453, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.574, predictive_accuracy: 0.5727, prior_entropy: 0.9963, recall: 0.5727, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5974, root_relative_squared_error: 1.1979, scimark_benchmark: 936.1714, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5486, kappa: 0.0929, kb_relative_information_score: 92.773, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5488, predictive_accuracy: 0.5485, prior_entropy: 0.9963, recall: 0.5485, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0788, scimark_benchmark: 1340.5125, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5497, kappa: 0.0935, kb_relative_information_score: 89.5639, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5495, predictive_accuracy: 0.5521, prior_entropy: 0.9963, recall: 0.5521, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0271, scimark_benchmark: 1326.2019, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 1358.6198, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1320.8283, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.5515, kappa: 0.0984, kb_relative_information_score: 152.7464, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5515, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1122, scimark_benchmark: 1339.6197, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5497, kappa: 0.0935, kb_relative_information_score: 89.5639, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5495, predictive_accuracy: 0.5521, prior_entropy: 0.9963, recall: 0.5521, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0271, scimark_benchmark: 1375.1578, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5486, kappa: 0.0929, kb_relative_information_score: 92.773, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5488, predictive_accuracy: 0.5485, prior_entropy: 0.9963, recall: 0.5485, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0788, scimark_benchmark: 1313.5633, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1329.8008,

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