Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 4618 Supervised Classification kc2 214 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

214 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8148, kappa: 0.4083, kb_relative_information_score: 1350.3637, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8107, predictive_accuracy: 0.8239, prior_entropy: 0.734, recall: 0.8239, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8892, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8227, kappa: 0.4274, kb_relative_information_score: 1400.2971, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8201, predictive_accuracy: 0.8343, prior_entropy: 0.734, recall: 0.8343, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8473, scimark_benchmark: 938.191, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8119, kappa: 0.3838, kb_relative_information_score: 1383.1483, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8115, predictive_accuracy: 0.8293, prior_entropy: 0.734, recall: 0.8293, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8496, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.8095, kappa: 0.3785, kb_relative_information_score: 1359.1029, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8075, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9194, scimark_benchmark: 944.1067, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 936.3373, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 943.1009, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 901.6243, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8148, kappa: 0.4083, kb_relative_information_score: 1350.3637, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8107, predictive_accuracy: 0.8239, prior_entropy: 0.734, recall: 0.8239, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8892, scimark_benchmark: 938.1282, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 930.404, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 906.0979, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8227, kappa: 0.4274, kb_relative_information_score: 1400.2971, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8201, predictive_accuracy: 0.8343, prior_entropy: 0.734, recall: 0.8343, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8473, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8119, kappa: 0.3838, kb_relative_information_score: 1383.1483, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8115, predictive_accuracy: 0.8293, prior_entropy: 0.734, recall: 0.8293, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8496, scimark_benchmark: 930.404, usercpu_time_millis: 1500, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.8095, kappa: 0.3785, kb_relative_information_score: 1359.1029, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8075, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9194, scimark_benchmark: 942.2392, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 941.4991, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8176, kappa: 0.4065, kb_relative_information_score: 1314.6308, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8161, predictive_accuracy: 0.8322, prior_entropy: 0.734, recall: 0.8322, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.8432, scimark_benchmark: 819.5729, usercpu_time_millis: 6900, usercpu_time_millis_testing: 4340, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8178, kappa: 0.4074, kb_relative_information_score: 1318.1597, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8162, predictive_accuracy: 0.8322, prior_entropy: 0.734, recall: 0.8322, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8437, scimark_benchmark: 919.3788, usercpu_time_millis: 4310, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.815, kappa: 0.399, kb_relative_information_score: 1308.8297, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8126, predictive_accuracy: 0.8291, prior_entropy: 0.734, recall: 0.8291, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8454, scimark_benchmark: 942.2392, usercpu_time_millis: 890, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8142, kappa: 0.3952, kb_relative_information_score: 1323.0794, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8121, predictive_accuracy: 0.8289, prior_entropy: 0.734, recall: 0.8289, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.8488, scimark_benchmark: 917.2109, usercpu_time_millis: 430, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8138, kappa: 0.3993, kb_relative_information_score: 1255.8924, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8103, predictive_accuracy: 0.8259, prior_entropy: 0.734, recall: 0.8259, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.8586, scimark_benchmark: 920.5394, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8132, kappa: 0.4022, kb_relative_information_score: 1372.6998, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.809, predictive_accuracy: 0.8228, prior_entropy: 0.734, recall: 0.8228, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8631, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8132, kappa: 0.4022, kb_relative_information_score: 1372.6998, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.809, predictive_accuracy: 0.8228, prior_entropy: 0.734, recall: 0.8228, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8631, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8132, kappa: 0.4022, kb_relative_information_score: 1372.6998, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.809, predictive_accuracy: 0.8228, prior_entropy: 0.734, recall: 0.8228, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8631, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8132, kappa: 0.4022, kb_relative_information_score: 1372.6998, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.809, predictive_accuracy: 0.8228, prior_entropy: 0.734, recall: 0.8228, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8631, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8132, kappa: 0.4022, kb_relative_information_score: 1372.6998, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.809, predictive_accuracy: 0.8228, prior_entropy: 0.734, recall: 0.8228, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8631, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.7042, kb_relative_information_score: -11.3944, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8236, kappa: 0.4499, kb_relative_information_score: 1962.2762, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8212, predictive_accuracy: 0.8266, prior_entropy: 0.734, recall: 0.8266, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9552, scimark_benchmark: 929.0296, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8278, kappa: 0.4543, kb_relative_information_score: 2078.6658, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8245, predictive_accuracy: 0.8343, prior_entropy: 0.734, recall: 0.8343, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.9273, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8249, kappa: 0.457, kb_relative_information_score: 1957.9226, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8232, predictive_accuracy: 0.8268, prior_entropy: 0.734, recall: 0.8268, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9552, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8305, kappa: 0.4714, kb_relative_information_score: 2039.2342, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8283, predictive_accuracy: 0.8335, prior_entropy: 0.734, recall: 0.8335, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9261, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8243, kappa: 0.4598, kb_relative_information_score: 1925.306, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8239, predictive_accuracy: 0.8247, prior_entropy: 0.734, recall: 0.8247, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.39, root_relative_squared_error: 0.966, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7042, kb_relative_information_score: 1397.3072, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.8087, kappa: 0.3957, kb_relative_information_score: 1298.6811, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8046, predictive_accuracy: 0.8149, prior_entropy: 0.734, recall: 0.8149, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9739, scimark_benchmark: 922.8232, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8187, kappa: 0.4226, kb_relative_information_score: 1182.8549, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8148, predictive_accuracy: 0.8268, prior_entropy: 0.734, recall: 0.8268, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8462, scimark_benchmark: 926.5859, usercpu_time_millis: 1380, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8334, kappa: 0.4694, kb_relative_information_score: 1351.1297, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8304, predictive_accuracy: 0.8408, prior_entropy: 0.734, recall: 0.8408, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.8357, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 934.929, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 934.929, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8148, kappa: 0.4083, kb_relative_information_score: 1350.3637, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8107, predictive_accuracy: 0.8239, prior_entropy: 0.734, recall: 0.8239, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8892, scimark_benchmark: 845.538, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 949.7766, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 952.4682, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8227, kappa: 0.4274, kb_relative_information_score: 1400.2971, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8201, predictive_accuracy: 0.8343, prior_entropy: 0.734, recall: 0.8343, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8473, scimark_benchmark: 945.0194, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8119, kappa: 0.3838, kb_relative_information_score: 1383.1483, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8115, predictive_accuracy: 0.8293, prior_entropy: 0.734, recall: 0.8293, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8496, scimark_benchmark: 946.9304, usercpu_time_millis: 1430, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.8095, kappa: 0.3785, kb_relative_information_score: 1359.1029, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8075, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9194, scimark_benchmark: 910.6607, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 928.8135, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 933.4598, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 922.5036, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 1337.9632, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8227, kappa: 0.4274, kb_relative_information_score: 1400.2971, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8201, predictive_accuracy: 0.8343, prior_entropy: 0.734, recall: 0.8343, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8473, scimark_benchmark: 1307.8606, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 1332.9478, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 1333.202, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8227, kappa: 0.4274, kb_relative_information_score: 1400.2971, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8201, predictive_accuracy: 0.8343, prior_entropy: 0.734, recall: 0.8343, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8473, scimark_benchmark: 1306.9281, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1349.9643, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8119, kappa: 0.3838, kb_relative_information_score: 1383.1481, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8115, predictive_accuracy: 0.8293, prior_entropy: 0.734, recall: 0.8293, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8496, scimark_benchmark: 1318.4315, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.8095, kappa: 0.3785, kb_relative_information_score: 1359.1029, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8075, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9194, scimark_benchmark: 1322.1893, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 1324.8408, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1346.0226, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8148, kappa: 0.4083, kb_relative_information_score: 1350.0853, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8107, predictive_accuracy: 0.8239, prior_entropy: 0.734, recall: 0.8239, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.359, root_relative_squared_error: 0.8893, scimark_benchmark: 1321.4771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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