OpenML
Supervised Classification on chscase_census5

Supervised Classification on chscase_census5

Task 4474 Supervised Classification chscase_census5 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3122, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4945, kappa: -0.0009, kb_relative_information_score: -70.0336, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5001, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0454, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4928, kappa: -0.0036, kb_relative_information_score: -78.3785, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4987, predictive_accuracy: 0.5033, prior_entropy: 0.9991, recall: 0.5033, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0928, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 133.2022, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 133.2022, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5072, kappa: 0.0134, kb_relative_information_score: 6.8798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5074, predictive_accuracy: 0.5088, prior_entropy: 0.9991, recall: 0.5088, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0401, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4459, f_measure: 0.4759, kappa: -0.0419, kb_relative_information_score: -86.5331, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4787, predictive_accuracy: 0.4835, prior_entropy: 0.9991, recall: 0.4835, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0322, scimark_benchmark: 938.9588, usercpu_time_millis: 5530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.3534, kappa: -0.0059, kb_relative_information_score: -8.2061, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3636, predictive_accuracy: 0.5145, prior_entropy: 0.9991, recall: 0.5145, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0023, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 133.2022, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 936.3373, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 133.2022, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, 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: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4888, kappa: -0.0203, kb_relative_information_score: -41.394, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4902, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0409, scimark_benchmark: 937.5117, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3122, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4945, kappa: -0.0009, kb_relative_information_score: -70.0336, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5001, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0454, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4928, kappa: -0.0036, kb_relative_information_score: -78.3785, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4987, predictive_accuracy: 0.5033, prior_entropy: 0.9991, recall: 0.5033, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0928, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 133.2022, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 904.5548, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5072, kappa: 0.0134, kb_relative_information_score: 6.8798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5074, predictive_accuracy: 0.5088, prior_entropy: 0.9991, recall: 0.5088, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0401, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4459, f_measure: 0.4759, kappa: -0.0419, kb_relative_information_score: -86.5331, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4787, predictive_accuracy: 0.4835, prior_entropy: 0.9991, recall: 0.4835, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0322, scimark_benchmark: 938.4601, usercpu_time_millis: 4180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.3534, kappa: -0.0059, kb_relative_information_score: -8.2061, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3636, predictive_accuracy: 0.5145, prior_entropy: 0.9991, recall: 0.5145, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0023, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4888, kappa: -0.0203, kb_relative_information_score: -41.394, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4902, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0409, scimark_benchmark: 941.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.3594, kappa: -0.0088, kb_relative_information_score: -3.3259, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4303, predictive_accuracy: 0.5128, prior_entropy: 0.9991, recall: 0.5128, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0007, scimark_benchmark: 943.6618, usercpu_time_millis: 1160, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.3631, kappa: -0.0084, kb_relative_information_score: -2.7292, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4485, predictive_accuracy: 0.5128, prior_entropy: 0.9991, recall: 0.5128, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0006, scimark_benchmark: 934.695, usercpu_time_millis: 460, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.3642, kappa: -0.0122, kb_relative_information_score: -3.4527, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4389, predictive_accuracy: 0.5108, prior_entropy: 0.9991, recall: 0.5108, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0007, scimark_benchmark: 593.4115, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.3693, kappa: -0.0137, kb_relative_information_score: -5.1352, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4484, predictive_accuracy: 0.5098, prior_entropy: 0.9991, recall: 0.5098, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0011, scimark_benchmark: 906.8974, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3894, kappa: -0.002, kb_relative_information_score: -3.7841, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4956, predictive_accuracy: 0.5148, prior_entropy: 0.9991, recall: 0.5148, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0009, scimark_benchmark: 920.3788, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4651, f_measure: 0.4807, kappa: -0.0379, kb_relative_information_score: -122.3551, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4814, predictive_accuracy: 0.484, prior_entropy: 0.9991, recall: 0.484, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1188, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4651, f_measure: 0.4807, kappa: -0.0379, kb_relative_information_score: -122.3551, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4814, predictive_accuracy: 0.484, prior_entropy: 0.9991, recall: 0.484, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1188, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.4827, kappa: -0.0336, kb_relative_information_score: -124.9201, mean_absolute_error: 0.5144, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4835, predictive_accuracy: 0.4863, prior_entropy: 0.9991, recall: 0.4863, relative_absolute_error: 1.03, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.1161, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.4874, kappa: -0.0239, kb_relative_information_score: -109.2944, mean_absolute_error: 0.5127, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4884, predictive_accuracy: 0.4913, prior_entropy: 0.9991, recall: 0.4913, relative_absolute_error: 1.0266, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0964, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, f_measure: 0.5031, kappa: 0.0104, kb_relative_information_score: -58.3484, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.506, predictive_accuracy: 0.509, prior_entropy: 0.9991, recall: 0.509, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0672, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3507, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.4825, kappa: -0.0247, kb_relative_information_score: -75.1934, mean_absolute_error: 0.5087, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4875, predictive_accuracy: 0.4928, prior_entropy: 0.9991, recall: 0.4928, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1772, scimark_benchmark: 938.3115, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.4748, kappa: -0.0363, kb_relative_information_score: -66.7202, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4809, predictive_accuracy: 0.4875, prior_entropy: 0.9991, recall: 0.4875, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5772, root_relative_squared_error: 1.1551, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, f_measure: 0.4818, kappa: -0.0095, kb_relative_information_score: -14.5118, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4951, predictive_accuracy: 0.5023, prior_entropy: 0.9991, recall: 0.5023, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1149, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4459, f_measure: 0.4759, kappa: -0.0419, kb_relative_information_score: -86.5274, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4787, predictive_accuracy: 0.4835, prior_entropy: 0.9991, recall: 0.4835, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0322, scimark_benchmark: 1309.0674, usercpu_time_millis: 4110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 133.2022, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 1338.6772, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4459, f_measure: 0.4759, kappa: -0.0419, kb_relative_information_score: -86.5274, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4787, predictive_accuracy: 0.4835, prior_entropy: 0.9991, recall: 0.4835, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0322, scimark_benchmark: 1313.9976, usercpu_time_millis: 2690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4888, kappa: -0.0203, kb_relative_information_score: -41.394, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4902, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0409, scimark_benchmark: 1343.3311, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.3534, kappa: -0.0059, kb_relative_information_score: -8.2061, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3636, predictive_accuracy: 0.5145, prior_entropy: 0.9991, recall: 0.5145, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0023, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4888, kappa: -0.0203, kb_relative_information_score: -41.394, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4902, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0409, scimark_benchmark: 1346.2927, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.444, f_measure: 0.4556, kappa: -0.0811, kb_relative_information_score: -52.9117, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.458, predictive_accuracy: 0.4643, prior_entropy: 0.9991, recall: 0.4643, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0145, scimark_benchmark: 1334.863, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3528, kappa: -0.0064, kb_relative_information_score: -11.738, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3432, predictive_accuracy: 0.5143, prior_entropy: 0.9991, recall: 0.5143, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0038, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4928, kappa: -0.0036, kb_relative_information_score: -78.3785, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4987, predictive_accuracy: 0.5033, prior_entropy: 0.9991, recall: 0.5033, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0928, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5072, kappa: 0.0134, kb_relative_information_score: 6.8798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5074, predictive_accuracy: 0.5088, prior_entropy: 0.9991, recall: 0.5088, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0401, scimark_benchmark: 1330.4755, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.3534, kappa: -0.0059, kb_relative_information_score: -8.2061, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3636, predictive_accuracy: 0.5145, prior_entropy: 0.9991, recall: 0.5145, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0023, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs