OpenML
Supervised Classification on lowbwt

Supervised Classification on lowbwt

Task 4509 Supervised Classification lowbwt 212 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

212 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1357.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 1316.6799, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8313, kappa: 0.6666, kb_relative_information_score: 1053.4079, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8648, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6963, scimark_benchmark: 1353.5464, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 1345.1736, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 1311.7006, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 1297.2338, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1280.6338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8248, kappa: 0.6495, kb_relative_information_score: 1054.8529, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8332, predictive_accuracy: 0.8265, prior_entropy: 0.9984, recall: 0.8265, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7209, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1337.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8246, kappa: 0.6529, kb_relative_information_score: 1045.0834, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8542, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7097, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8125, kappa: 0.6245, kb_relative_information_score: 1022.8559, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8175, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7505, kappa: 0.5029, kb_relative_information_score: 760.7064, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7638, predictive_accuracy: 0.7545, prior_entropy: 0.9984, recall: 0.7545, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8479, scimark_benchmark: 1368.9272, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7439, kappa: 0.4866, kb_relative_information_score: 911.0964, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7439, predictive_accuracy: 0.7439, prior_entropy: 0.9984, recall: 0.7439, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0076, scimark_benchmark: 1323.4648, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8306, kappa: 0.6655, kb_relative_information_score: 1053.8017, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.865, predictive_accuracy: 0.8355, prior_entropy: 0.9984, recall: 0.8355, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6953, scimark_benchmark: 918.0213, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8303, kappa: 0.6638, kb_relative_information_score: 729.0324, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8582, predictive_accuracy: 0.8344, prior_entropy: 0.9984, recall: 0.8344, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7407, scimark_benchmark: 1342.2985, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8311, kappa: 0.665, kb_relative_information_score: 723.5864, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8569, predictive_accuracy: 0.8349, prior_entropy: 0.9984, recall: 0.8349, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7415, scimark_benchmark: 1317.1597, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 916.5769, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.829, kappa: 0.6615, kb_relative_information_score: 1254.629, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8588, predictive_accuracy: 0.8333, prior_entropy: 0.9984, recall: 0.8333, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8064, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8225, kappa: 0.6465, kb_relative_information_score: 1059.6779, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8388, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7425, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 1314.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7402, kappa: 0.4789, kb_relative_information_score: 906.7892, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7408, predictive_accuracy: 0.7407, prior_entropy: 0.9984, recall: 0.7407, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0195, scimark_benchmark: 1347.9553, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 1009.0019, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7097, scimark_benchmark: 996.6105, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1319.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8335, kappa: 0.6702, kb_relative_information_score: 733.7576, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8621, predictive_accuracy: 0.8376, prior_entropy: 0.9984, recall: 0.8376, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7418, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7439, kappa: 0.4866, kb_relative_information_score: 918.8277, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7439, predictive_accuracy: 0.7439, prior_entropy: 0.9984, recall: 0.7439, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0132, scimark_benchmark: 923.6051, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.8184, kappa: 0.6409, kb_relative_information_score: 1219.791, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8498, predictive_accuracy: 0.8233, prior_entropy: 0.9984, recall: 0.8233, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8417, scimark_benchmark: 1327.9121, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8282, kappa: 0.6595, kb_relative_information_score: 1041.8783, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8555, predictive_accuracy: 0.8323, prior_entropy: 0.9984, recall: 0.8323, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7212, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1337.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8149, kappa: 0.6291, kb_relative_information_score: 1119.441, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8184, predictive_accuracy: 0.8159, prior_entropy: 0.9984, recall: 0.8159, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6939, scimark_benchmark: 1329.8902, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8297, kappa: 0.6599, kb_relative_information_score: 1066.3505, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8408, predictive_accuracy: 0.8317, prior_entropy: 0.9984, recall: 0.8317, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6891, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7552, kappa: 0.51, kb_relative_information_score: 857.984, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7603, predictive_accuracy: 0.7571, prior_entropy: 0.9984, recall: 0.7571, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9195, scimark_benchmark: 1227.9507, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8241, kappa: 0.649, kb_relative_information_score: 1025.7567, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8368, predictive_accuracy: 0.8265, prior_entropy: 0.9984, recall: 0.8265, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7148, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8241, kappa: 0.649, kb_relative_information_score: 1026.2524, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8371, predictive_accuracy: 0.8265, prior_entropy: 0.9984, recall: 0.8265, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7146, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8255, kappa: 0.6527, kb_relative_information_score: 1239.8552, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8438, predictive_accuracy: 0.8286, prior_entropy: 0.9984, recall: 0.8286, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.414, root_relative_squared_error: 0.829, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8217, kappa: 0.6445, kb_relative_information_score: 1050.6333, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8365, predictive_accuracy: 0.8243, prior_entropy: 0.9984, recall: 0.8243, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7332, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8218, kappa: 0.6439, kb_relative_information_score: 696.02, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8322, predictive_accuracy: 0.8238, prior_entropy: 0.9984, recall: 0.8238, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7895, scimark_benchmark: 1419.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 1000.2262, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7111, scimark_benchmark: 1334.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8071, kappa: 0.6155, kb_relative_information_score: 949.5413, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8219, predictive_accuracy: 0.8101, prior_entropy: 0.9984, recall: 0.8101, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7325, scimark_benchmark: 1345.1228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8154, kappa: 0.6324, kb_relative_information_score: 1027.232, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8326, predictive_accuracy: 0.8185, prior_entropy: 0.9984, recall: 0.8185, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7243, scimark_benchmark: 1325.5087, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8236, kappa: 0.6479, kb_relative_information_score: 1025.7168, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8364, predictive_accuracy: 0.8259, prior_entropy: 0.9984, recall: 0.8259, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7151, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8206, kappa: 0.6437, kb_relative_information_score: 1027.13, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8435, predictive_accuracy: 0.8243, prior_entropy: 0.9984, recall: 0.8243, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.742, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8125, kappa: 0.6245, kb_relative_information_score: 1022.8559, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8175, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 1321.1875, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8125, kappa: 0.6245, kb_relative_information_score: 1022.8559, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8175, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 1316.781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8315, kappa: 0.666, kb_relative_information_score: 726.9432, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8581, predictive_accuracy: 0.8355, prior_entropy: 0.9984, recall: 0.8355, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7427, scimark_benchmark: 1361.2664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7552, kappa: 0.51, kb_relative_information_score: 857.984, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7603, predictive_accuracy: 0.7571, prior_entropy: 0.9984, recall: 0.7571, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9195, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3601, kb_relative_information_score: -0.083, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.355, kappa: 0.0328, kb_relative_information_score: 47.9899, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6595, predictive_accuracy: 0.4947, prior_entropy: 0.9984, recall: 0.4947, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9812, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 998.2433, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7103, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8323, kappa: 0.668, kb_relative_information_score: 763.5208, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8619, predictive_accuracy: 0.8365, prior_entropy: 0.9984, recall: 0.8365, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7373, scimark_benchmark: 860.584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8144, kappa: 0.6278, kb_relative_information_score: 1143.71, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8153, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7582, scimark_benchmark: 1363.434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8159, kappa: 0.6308, kb_relative_information_score: 1122.8334, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8173, predictive_accuracy: 0.8164, prior_entropy: 0.9984, recall: 0.8164, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7285, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8301, kappa: 0.6603, kb_relative_information_score: 1097.6395, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8385, predictive_accuracy: 0.8317, prior_entropy: 0.9984, recall: 0.8317, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.682, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8308, kappa: 0.6656, kb_relative_information_score: 1051.4846, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8635, predictive_accuracy: 0.8355, prior_entropy: 0.9984, recall: 0.8355, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6977, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8257, kappa: 0.655, kb_relative_information_score: 1047.7268, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8553, predictive_accuracy: 0.8302, prior_entropy: 0.9984, recall: 0.8302, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7016, scimark_benchmark: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8246, kappa: 0.6529, kb_relative_information_score: 1045.0834, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8542, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7097, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.845, kappa: 0.6921, kb_relative_information_score: 1110.8079, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8682, predictive_accuracy: 0.8481, prior_entropy: 0.9984, recall: 0.8481, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6908, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8228, kappa: 0.6455, kb_relative_information_score: 1144.7955, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8299, predictive_accuracy: 0.8243, prior_entropy: 0.9984, recall: 0.8243, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7032, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8235, kappa: 0.6478, kb_relative_information_score: 1123.0559, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8369, predictive_accuracy: 0.8259, prior_entropy: 0.9984, recall: 0.8259, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.689, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.826, kappa: 0.6552, kb_relative_information_score: 1072.9879, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8532, predictive_accuracy: 0.8302, prior_entropy: 0.9984, recall: 0.8302, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6957, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8271, kappa: 0.6589, kb_relative_information_score: 1045.2483, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.864, predictive_accuracy: 0.8323, prior_entropy: 0.9984, recall: 0.8323, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7003, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8267, kappa: 0.6587, kb_relative_information_score: 1014.947, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8666, predictive_accuracy: 0.8323, prior_entropy: 0.9984, recall: 0.8323, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7104, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8006, kappa: 0.6026, kb_relative_information_score: 946.8114, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8155, predictive_accuracy: 0.8037, prior_entropy: 0.9984, recall: 0.8037, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7649, scimark_benchmark: 883.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7935, kappa: 0.5863, kb_relative_information_score: 884.5393, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7973, predictive_accuracy: 0.7947, prior_entropy: 0.9984, recall: 0.7947, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8362, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.8221, kappa: 0.6448, kb_relative_information_score: 1223.8038, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8341, predictive_accuracy: 0.8243, prior_entropy: 0.9984, recall: 0.8243, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8392, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8289, kappa: 0.6638, kb_relative_information_score: 1263.9323, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8745, predictive_accuracy: 0.8349, prior_entropy: 0.9984, recall: 0.8349, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8135, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8381, kappa: 0.6797, kb_relative_information_score: 1292.0222, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8694, predictive_accuracy: 0.8423, prior_entropy: 0.9984, recall: 0.8423, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7951, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8249, kappa: 0.653, kb_relative_information_score: 987.2442, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8524, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7124, scimark_benchmark: 1339.3974, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7402, kappa: 0.4789, kb_relative_information_score: 906.7892, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7408, predictive_accuracy: 0.7407, prior_entropy: 0.9984, recall: 0.7407, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0195, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8118, kappa: 0.625, kb_relative_information_score: 992.2216, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8276, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 939.5088, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8248, kappa: 0.6495, kb_relative_information_score: 1054.8529, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8332, predictive_accuracy: 0.8265, prior_entropy: 0.9984, recall: 0.8265, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7209, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8178, kappa: 0.6351, kb_relative_information_score: 1028.9912, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8231, predictive_accuracy: 0.819, prior_entropy: 0.9984, recall: 0.819, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7086, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 1024.0728, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8416, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7133, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.792, kappa: 0.5831, kb_relative_information_score: 1102.3209, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.792, predictive_accuracy: 0.7921, prior_entropy: 0.9984, recall: 0.7921, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9025, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8176, kappa: 0.6389, kb_relative_information_score: 1004.0929, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8464, predictive_accuracy: 0.8222, prior_entropy: 0.9984, recall: 0.8222, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7373, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8233, kappa: 0.6499, kb_relative_information_score: 1018.212, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8501, predictive_accuracy: 0.8275, prior_entropy: 0.9984, recall: 0.8275, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7351, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8193, kappa: 0.6375, kb_relative_information_score: 1205.746, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8196, prior_entropy: 0.9984, recall: 0.8196, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8505, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5582, kappa: 0.1698, kb_relative_information_score: 284.7985, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6076, predictive_accuracy: 0.5767, prior_entropy: 0.9984, recall: 0.5767, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6506, root_relative_squared_error: 1.3027, scimark_benchmark: 1294.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7951, kappa: 0.5891, kb_relative_information_score: 1030.2839, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.7968, predictive_accuracy: 0.7958, prior_entropy: 0.9984, recall: 0.7958, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8084, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 1267.9451, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8238, kappa: 0.6494, kb_relative_information_score: 1233.8359, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8426, predictive_accuracy: 0.827, prior_entropy: 0.9984, recall: 0.827, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8328, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3601, kb_relative_information_score: -0.083, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8257, kappa: 0.6535, kb_relative_information_score: 1039.8442, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8469, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7306, scimark_benchmark: 1339.4189,

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