OpenML
Supervised Classification on fishcatch

Supervised Classification on fishcatch

Task 3719 Supervised Classification fishcatch 463 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_123 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

463 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 936.3373, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 919.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 132.1364, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4177, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 135.6453, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3316, scimark_benchmark: 936.3213, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1051.249, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9747, kappa: 0.9475, kb_relative_information_score: 141.4765, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9751, predictive_accuracy: 0.9747, prior_entropy: 0.971, recall: 0.9747, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3074, scimark_benchmark: 931.7096, usercpu_time_millis: 910, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9684, kappa: 0.9342, kb_relative_information_score: 141.3287, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.3034, scimark_benchmark: 938.988, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9685, kappa: 0.9345, kb_relative_information_score: 140.8842, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9693, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3083, scimark_benchmark: 945.2015, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 140.4189, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3242, scimark_benchmark: 939.5607, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 139.7983, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3527, scimark_benchmark: 899.1108, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 139.5049, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.387, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 139.5049, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.387, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 139.5049, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.387, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 139.5049, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.387, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 139.5049, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.387, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.4515, kb_relative_information_score: -0.144, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.3615, predictive_accuracy: 0.6013, prior_entropy: 0.971, recall: 0.6013, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0004, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 140.9224, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4593, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 140.9219, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4592, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9559, kappa: 0.9088, kb_relative_information_score: 142.904, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9581, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4256, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 142.1986, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.417, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 140.6578, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4573, 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: 0.4515, kb_relative_information_score: 24.2885, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.3615, predictive_accuracy: 0.6013, prior_entropy: 0.971, recall: 0.6013, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2896, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 135.1589, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4756, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 114.9537, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4425, scimark_benchmark: 935.8024, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.937, kappa: 0.8694, kb_relative_information_score: 124.3985, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9385, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4812, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 148.1493, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2752, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 928.8135, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 917.407, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 132.1364, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4177, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 135.6453, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3316, scimark_benchmark: 938.5476, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 946.6409, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 928.8135, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 936.4883, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 1324.1205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1318.6467, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 1321.0448, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1317.2327, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 135.6453, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3316, scimark_benchmark: 1322.3407, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 1316.6741, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 148.1493, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2752, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 132.1364, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4177, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1358.6198, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 148.1493, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2752, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 132.1364, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4177, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 1315.7081, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1344.0499, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9363, kappa: 0.8666, kb_relative_information_score: 136.6746, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5138, scimark_benchmark: 1360.9406, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1354.3488,

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