OpenML
Supervised Classification on pyrim

Supervised Classification on pyrim

Task 4370 Supervised Classification pyrim 220 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

220 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7344, kappa: 0.4531, kb_relative_information_score: 259.6534, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.755, predictive_accuracy: 0.7459, prior_entropy: 0.9819, recall: 0.7459, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9017, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8732, kappa: 0.7382, kb_relative_information_score: 471.6245, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8753, predictive_accuracy: 0.8743, prior_entropy: 0.9819, recall: 0.8743, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6288, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8848, kappa: 0.7627, kb_relative_information_score: 522.8599, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6436, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.851, kappa: 0.6933, kb_relative_information_score: 408.1709, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8509, predictive_accuracy: 0.8514, prior_entropy: 0.9819, recall: 0.8514, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6761, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9389, kappa: 0.8741, kb_relative_information_score: 529.0129, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9397, predictive_accuracy: 0.9392, prior_entropy: 0.9819, recall: 0.9392, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5239, scimark_benchmark: 936.8075, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8592, kappa: 0.7103, kb_relative_information_score: 478.2501, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8591, predictive_accuracy: 0.8595, prior_entropy: 0.9819, recall: 0.8595, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7092, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8851, kappa: 0.7637, kb_relative_information_score: 501.2663, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.885, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6044, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7344, kappa: 0.4531, kb_relative_information_score: 259.6534, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.755, predictive_accuracy: 0.7459, prior_entropy: 0.9819, recall: 0.7459, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9017, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8732, kappa: 0.7382, kb_relative_information_score: 471.6245, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8753, predictive_accuracy: 0.8743, prior_entropy: 0.9819, recall: 0.8743, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6288, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8848, kappa: 0.7627, kb_relative_information_score: 522.8599, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6436, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.851, kappa: 0.6933, kb_relative_information_score: 408.1709, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8509, predictive_accuracy: 0.8514, prior_entropy: 0.9819, recall: 0.8514, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6761, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9389, kappa: 0.8741, kb_relative_information_score: 529.0129, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9397, predictive_accuracy: 0.9392, prior_entropy: 0.9819, recall: 0.9392, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5239, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8592, kappa: 0.7103, kb_relative_information_score: 478.2501, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8591, predictive_accuracy: 0.8595, prior_entropy: 0.9819, recall: 0.8595, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7092, scimark_benchmark: 936.9595, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8851, kappa: 0.7637, kb_relative_information_score: 501.2663, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.885, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6044, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8757, kappa: 0.7449, kb_relative_information_score: 473.3848, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8758, predictive_accuracy: 0.8757, prior_entropy: 0.9819, recall: 0.8757, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6072, scimark_benchmark: 936.2574, usercpu_time_millis: 1200, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8758, kappa: 0.7453, kb_relative_information_score: 476.0416, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8761, predictive_accuracy: 0.8757, prior_entropy: 0.9819, recall: 0.8757, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6012, scimark_benchmark: 937.5683, usercpu_time_millis: 490, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8811, kappa: 0.7557, kb_relative_information_score: 474.2018, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8811, predictive_accuracy: 0.8811, prior_entropy: 0.9819, recall: 0.8811, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6066, scimark_benchmark: 942.5233, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8812, kappa: 0.7564, kb_relative_information_score: 475.612, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8815, predictive_accuracy: 0.8811, prior_entropy: 0.9819, recall: 0.8811, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6127, scimark_benchmark: 917.2109, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8729, kappa: 0.7386, kb_relative_information_score: 476.8097, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8728, predictive_accuracy: 0.873, prior_entropy: 0.9819, recall: 0.873, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6177, scimark_benchmark: 920.5394, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9211, kappa: 0.8373, kb_relative_information_score: 620.0304, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9226, predictive_accuracy: 0.9216, prior_entropy: 0.9819, recall: 0.9216, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5575, scimark_benchmark: 889.4922, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9197, kappa: 0.8344, kb_relative_information_score: 618.7837, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9214, predictive_accuracy: 0.9203, prior_entropy: 0.9819, recall: 0.9203, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5579, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9224, kappa: 0.84, kb_relative_information_score: 618.9195, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9241, predictive_accuracy: 0.923, prior_entropy: 0.9819, recall: 0.923, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5556, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9238, kappa: 0.8429, kb_relative_information_score: 612.9929, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9254, predictive_accuracy: 0.9243, prior_entropy: 0.9819, recall: 0.9243, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5496, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9239, kappa: 0.843, kb_relative_information_score: 581.0679, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9251, predictive_accuracy: 0.9243, prior_entropy: 0.9819, recall: 0.9243, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5449, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4617, f_measure: 0.4271, kb_relative_information_score: -1.0111, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.3377, predictive_accuracy: 0.5811, prior_entropy: 0.9819, recall: 0.5811, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0007, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9199, kappa: 0.835, kb_relative_information_score: 617.0181, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9206, predictive_accuracy: 0.9203, prior_entropy: 0.9819, recall: 0.9203, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5633, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9173, kappa: 0.8297, kb_relative_information_score: 606.9395, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9176, predictive_accuracy: 0.9176, prior_entropy: 0.9819, recall: 0.9176, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5629, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8903, kappa: 0.7743, kb_relative_information_score: 564.2579, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8903, predictive_accuracy: 0.8905, prior_entropy: 0.9819, recall: 0.8905, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.63, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8769, kappa: 0.7468, kb_relative_information_score: 544.8346, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8768, predictive_accuracy: 0.877, prior_entropy: 0.9819, recall: 0.877, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6683, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8593, kappa: 0.7108, kb_relative_information_score: 504.4898, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8592, predictive_accuracy: 0.8595, prior_entropy: 0.9819, recall: 0.8595, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7127, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4271, kb_relative_information_score: 96.3597, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.3377, predictive_accuracy: 0.5811, prior_entropy: 0.9819, recall: 0.5811, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.6472, root_relative_squared_error: 1.3118, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8305, kappa: 0.651, kb_relative_information_score: 436.991, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8305, predictive_accuracy: 0.8311, prior_entropy: 0.9819, recall: 0.8311, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7993, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8713, kappa: 0.735, kb_relative_information_score: 486.9603, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8713, predictive_accuracy: 0.8716, prior_entropy: 0.9819, recall: 0.8716, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6182, scimark_benchmark: 931.7994, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7848, kappa: 0.5573, kb_relative_information_score: 237.2067, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7846, predictive_accuracy: 0.7851, prior_entropy: 0.9819, recall: 0.7851, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7976, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7344, kappa: 0.4531, kb_relative_information_score: 259.6534, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.755, predictive_accuracy: 0.7459, prior_entropy: 0.9819, recall: 0.7459, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9017, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8746, kappa: 0.7411, kb_relative_information_score: 472.5887, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8766, predictive_accuracy: 0.8757, prior_entropy: 0.9819, recall: 0.8757, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6271, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8848, kappa: 0.7627, kb_relative_information_score: 522.8599, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6436, scimark_benchmark: 845.538, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 946.8777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.851, kappa: 0.6933, kb_relative_information_score: 408.1709, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8509, predictive_accuracy: 0.8514, prior_entropy: 0.9819, recall: 0.8514, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6761, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9389, kappa: 0.8741, kb_relative_information_score: 529.0129, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9397, predictive_accuracy: 0.9392, prior_entropy: 0.9819, recall: 0.9392, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5239, scimark_benchmark: 922.5036, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8592, kappa: 0.7103, kb_relative_information_score: 478.2501, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8591, predictive_accuracy: 0.8595, prior_entropy: 0.9819, recall: 0.8595, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7092, scimark_benchmark: 910.6607, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8851, kappa: 0.7637, kb_relative_information_score: 501.2663, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.885, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6044, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7344, kappa: 0.4531, kb_relative_information_score: 259.6534, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.755, predictive_accuracy: 0.7459, prior_entropy: 0.9819, recall: 0.7459, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9017, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8746, kappa: 0.7411, kb_relative_information_score: 472.5887, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8766, predictive_accuracy: 0.8757, prior_entropy: 0.9819, recall: 0.8757, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6271, scimark_benchmark: 937.9625, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 1322.0065, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8732, kappa: 0.7382, kb_relative_information_score: 471.6245, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8753, predictive_accuracy: 0.8743, prior_entropy: 0.9819, recall: 0.8743, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6288, scimark_benchmark: 1357.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8834, kappa: 0.7598, kb_relative_information_score: 522.6455, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8836, predictive_accuracy: 0.8838, prior_entropy: 0.9819, recall: 0.8838, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6425, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.851, kappa: 0.6933, kb_relative_information_score: 408.1709, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8509, predictive_accuracy: 0.8514, prior_entropy: 0.9819, recall: 0.8514, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6761, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6843, kappa: 0.3756, kb_relative_information_score: 314.1167, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7989, predictive_accuracy: 0.723, prior_entropy: 0.9819, recall: 0.723, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0668, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8592, kappa: 0.7103, kb_relative_information_score: 478.2501, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8591, predictive_accuracy: 0.8595, prior_entropy: 0.9819, recall: 0.8595, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7092, scimark_benchmark: 1375.1578, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.851, kappa: 0.6933, kb_relative_information_score: 408.1709, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8509, predictive_accuracy: 0.8514, prior_entropy: 0.9819, recall: 0.8514, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6761, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9389, kappa: 0.8741, kb_relative_information_score: 529.0129, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9397, predictive_accuracy: 0.9392, prior_entropy: 0.9819, recall: 0.9392, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5239, scimark_benchmark: 1349.9643, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.851, kappa: 0.6933, kb_relative_information_score: 408.1709, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8509, predictive_accuracy: 0.8514, prior_entropy: 0.9819, recall: 0.8514, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6761, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7625, kappa: 0.5095, kb_relative_information_score: 371.3358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7635, predictive_accuracy: 0.7649, prior_entropy: 0.9819, recall: 0.7649, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8021, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8851, kappa: 0.7637, kb_relative_information_score: 501.2663, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.885, predictive_accuracy: 0.8851, prior_entropy: 0.9819, recall: 0.8851, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6044, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8834, kappa: 0.7598, kb_relative_information_score: 522.6455, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.8836, predictive_accuracy: 0.8838, prior_entropy: 0.9819, recall: 0.8838, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6425, scimark_benchmark: 1322.806, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9135, kappa: 0.8224, kb_relative_information_score: 523.5819, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 0.9819, recall: 0.9135, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.563, scimark_benchmark: 1310.3168, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7195, kappa: 0.4201, kb_relative_information_score: 343.9101, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.7245, predictive_accuracy: 0.7257, prior_entropy: 0.9819, recall: 0.7257, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8802, scimark_benchmark: 1313.8988,

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