Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 901.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 935.627, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8207, kappa: 0.6358, kb_relative_information_score: 168.6244, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8237, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7741, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8219, kappa: 0.6388, kb_relative_information_score: 169.4094, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8219, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7973, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8512, kappa: 0.698, kb_relative_information_score: 142.2341, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8521, predictive_accuracy: 0.8519, prior_entropy: 0.9912, recall: 0.8519, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6938, scimark_benchmark: 930.2337, usercpu_time_millis: 480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8402, kappa: 0.6756, kb_relative_information_score: 140.3275, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9912, recall: 0.8407, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 903.2737, usercpu_time_millis: 860, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8436, kappa: 0.6824, kb_relative_information_score: 138.4772, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8451, predictive_accuracy: 0.8444, prior_entropy: 0.9912, recall: 0.8444, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7039, scimark_benchmark: 972.587, usercpu_time_millis: 2700, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8107, kappa: 0.6159, kb_relative_information_score: 137.3696, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8108, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7188, scimark_benchmark: 939.7883, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8255, kappa: 0.646, kb_relative_information_score: 142.1725, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7218, scimark_benchmark: 936.7184, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 150.714, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8226, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7477, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 930.404, 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: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 859.5223, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 119.8675, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7835, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.764, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8066, kappa: 0.6074, kb_relative_information_score: 137.4776, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7712, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 151.1824, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8226, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7469, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 151.1824, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8226, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7469, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 151.1824, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8226, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7469, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 151.1824, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8226, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7469, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 936.3213, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 123.3802, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.744, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.0044, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8479, kappa: 0.6917, kb_relative_information_score: 178.5755, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8479, predictive_accuracy: 0.8481, prior_entropy: 0.9912, recall: 0.8481, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7602, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8361, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 932.438, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 160.9252, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8451, scimark_benchmark: 1918.4916, usercpu_time_millis: 812.5, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1742.8208, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1670.334, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8074, kappa: 0.61, kb_relative_information_score: 141.6377, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8074, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8074, scimark_benchmark: 1931.8468, usercpu_time_millis: 781.25, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8181, kappa: 0.631, kb_relative_information_score: 131.8269, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7209, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7917, kappa: 0.5772, kb_relative_information_score: 122.6767, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8305, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7991, kappa: 0.5923, kb_relative_information_score: 137.5427, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8552, kappa: 0.7063, kb_relative_information_score: 172.2875, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8554, predictive_accuracy: 0.8556, prior_entropy: 0.9912, recall: 0.8556, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.747, kappa: 0.4868, kb_relative_information_score: 131.4656, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7557, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8799, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8183, kappa: 0.6316, kb_relative_information_score: 170.2222, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8573, scimark_benchmark: 1377.4309, usercpu_time_millis: 1312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6266, kappa: 0.2456, kb_relative_information_score: 64.3733, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6276, predictive_accuracy: 0.6259, prior_entropy: 0.9912, recall: 0.6259, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2309, scimark_benchmark: 1742.8208, usercpu_time_millis: 14500, usercpu_time_millis_training: 14500,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1719, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 141.9576, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 141.9583, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8222, kappa: 0.64, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8222, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7464, kappa: 0.4848, kb_relative_information_score: 109.3044, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7476, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.848, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.774, kappa: 0.5421, kb_relative_information_score: 118.2773, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7739, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8539, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8222, kappa: 0.64, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8222, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, scimark_benchmark: 1317.9384, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1275.4712, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7917, kappa: 0.5772, kb_relative_information_score: 142.9092, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.856, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7917, kappa: 0.5772, kb_relative_information_score: 142.9092, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.856, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7983, kappa: 0.5902, kb_relative_information_score: 137.786, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7958, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.785, kappa: 0.5643, kb_relative_information_score: 121.1424, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7849, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 172.6933, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8109, kappa: 0.6165, kb_relative_information_score: 132.8393, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8108, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 162.2595, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 128.6696, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8057, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8184, kappa: 0.6322, kb_relative_information_score: 141.4963, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7672, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 141.964, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1719, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1719, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 141.5192, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7365, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8251, kappa: 0.6448, kb_relative_information_score: 130.8087, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8261, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7272, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7446, kappa: 0.4814, kb_relative_information_score: 112.4396, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7495, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8451, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 159.9863, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.794, scimark_benchmark: 1416.417, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 928.8135, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 123.3802, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.744, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8057, kappa: 0.6054, kb_relative_information_score: 93.5145, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8085, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7767, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8171, kappa: 0.6285, kb_relative_information_score: 121.7361, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8196, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506, scimark_benchmark: 933.0918, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7843, kappa: 0.5621, kb_relative_information_score: 140.5144, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7848, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8648, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8361, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 890.5596, usercpu_time_millis: 610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8333, kappa: 0.6622, kb_relative_information_score: 176.539, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7633, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 176.9041, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7511, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8066, kappa: 0.6074, kb_relative_information_score: 137.4776, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7712, scimark_benchmark: 941.6062, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 119.8675, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7835, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.764, scimark_benchmark: 934.1885, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7083, kappa: 0.4129, kb_relative_information_score: 109.1555, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7114, predictive_accuracy: 0.7074, prior_entropy: 0.9912, recall: 0.7074, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.0886, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 1321.6503, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 1350.2591, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1374.9737, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1310.6554,

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