Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 73042 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9693, kappa: 0.9385, kb_relative_information_score: 519.9186, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3506, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 535.9548, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2551, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, usercpu_time_millis: 2.638, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 1.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 331.4932, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8959, usercpu_time_millis: 2.056, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 535.9548, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2551, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 519.9186, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3506, usercpu_time_millis: 0.834, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 529.9412, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 0.9989, recall: 0.9783, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2946, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, usercpu_time_millis: 3.779, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 3.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 531.9457, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.282, usercpu_time_millis: 397.989, usercpu_time_millis_testing: 10.36, usercpu_time_millis_training: 387.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 531.9457, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.282, usercpu_time_millis: 17.116, usercpu_time_millis_testing: 4.568, usercpu_time_millis_training: 12.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 4.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 537.9593, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2405, usercpu_time_millis: 5.113, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 4.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0183, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0183, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2411, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4143, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 417.6025, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.449, scimark_benchmark: 1851.1033, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 519.3285, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2685, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 502.1837, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2596, scimark_benchmark: 1850.8887, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 519.748, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.134, root_relative_squared_error: 0.2682, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.5552, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2103, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 521.0253, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.2669, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 531.9457, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3556, kb_relative_information_score: 20.7918, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2411, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4143, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6221, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2092, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 520.9893, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.2614, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 529.9412, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 0.9989, recall: 0.9783, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 531.9457, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.282, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 524.0722, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2459, scimark_benchmark: 1779.392, usercpu_time_millis: 234.0015, usercpu_time_millis_training: 234.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 531.9457, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 362.8901, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4716, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 502.2303, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.9989, recall: 0.9765, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3015, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9548, kappa: 0.9095, kb_relative_information_score: 466.4155, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 0.9989, recall: 0.9549, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3744, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 500.9319, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2581, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6221, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2092, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 524.0099, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2517, scimark_benchmark: 1744.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 417.6025, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.449, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 529.3012, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2306, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 525.9321, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3182, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132, scimark_benchmark: 1744.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6221, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2092, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 528.0451, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2371, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9548, kappa: 0.9095, kb_relative_information_score: 466.4155, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 0.9989, recall: 0.9549, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3744, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 417.6025, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.449, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 509.4247, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2675, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 529.5395, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2304, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 525.9321, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3182, scimark_benchmark: 1294.1416, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132, scimark_benchmark: 1307.7058, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7623, kappa: 0.5264, kb_relative_information_score: 213.0863, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7734, predictive_accuracy: 0.7653, prior_entropy: 0.9989, recall: 0.7653, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8192, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7623, kappa: 0.5264, kb_relative_information_score: 213.0863, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7734, predictive_accuracy: 0.7653, prior_entropy: 0.9989, recall: 0.7653, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8192, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9149, kappa: 0.8295, kb_relative_information_score: 243.3318, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9173, predictive_accuracy: 0.9152, prior_entropy: 0.9989, recall: 0.9152, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.672, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 534.6364, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, recall: 0.9874, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2203, scimark_benchmark: 1416.417, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 525.9321, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3182, scimark_benchmark: 1377.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 421.8498, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.409, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 421.8498, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.409, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.5989, kappa: 0.2861, kb_relative_information_score: 169.1267, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7921, predictive_accuracy: 0.6534, prior_entropy: 0.9989, recall: 0.6534, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.1783, scimark_benchmark: 1742.8208, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.5989, kappa: 0.2861, kb_relative_information_score: 169.1267, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7921, predictive_accuracy: 0.6534, prior_entropy: 0.9989, recall: 0.6534, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.1783, scimark_benchmark: 1854.0453, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 535.9198, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2321, scimark_benchmark: 1918.4916, usercpu_time_millis: 2109.375, usercpu_time_millis_training: 2109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 529.6254, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.23, scimark_benchmark: 1918.4916, usercpu_time_millis: 1953.125, usercpu_time_millis_training: 1953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 1357.0117, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 1385.4326, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083, scimark_benchmark: 1403.8289, usercpu_time_millis: 500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 521.9094, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 0.9989, recall: 0.9819, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2652, scimark_benchmark: 944.8364, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 337.3768, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.9989, recall: 0.9765, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5183, scimark_benchmark: 1344.9148, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.3391, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.413, scimark_benchmark: 1799.0848, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 508.9551, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2685, scimark_benchmark: 1408.0731, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 506.047, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2625, scimark_benchmark: 943.7305, usercpu_time_millis: 900, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 89.2479, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132,

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

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

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