Task
Supervised Classification on no2

Supervised Classification on no2

Task 4454 Supervised Classification no2 231 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6025, kappa: 0.2203, kb_relative_information_score: 475.8841, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6197, predictive_accuracy: 0.6106, prior_entropy: 1, recall: 0.6106, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9797, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.6421, kappa: 0.2846, kb_relative_information_score: 869.1943, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6428, predictive_accuracy: 0.6424, prior_entropy: 1, recall: 0.6424, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9314, scimark_benchmark: 1313.5633, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.587, kappa: 0.215, kb_relative_information_score: 460.1427, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6348, predictive_accuracy: 0.6082, prior_entropy: 1, recall: 0.6082, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9675, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5772, kappa: 0.1554, kb_relative_information_score: 290.2258, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.578, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9833, scimark_benchmark: 1320.2063, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6006, kappa: 0.204, kb_relative_information_score: 394.8584, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6035, predictive_accuracy: 0.6022, prior_entropy: 1, recall: 0.6022, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.5948, kappa: 0.1913, kb_relative_information_score: 570.9439, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5965, predictive_accuracy: 0.5958, prior_entropy: 1, recall: 0.5958, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0111, scimark_benchmark: 1330.4755, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5837, kappa: 0.1995, kb_relative_information_score: 418.7651, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9703, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5837, kappa: 0.1995, kb_relative_information_score: 418.7651, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9703, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6319, kappa: 0.2642, kb_relative_information_score: 746.3666, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6325, predictive_accuracy: 0.6322, prior_entropy: 1, recall: 0.6322, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9553, scimark_benchmark: 1343.7262, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6006, kappa: 0.204, kb_relative_information_score: 394.8584, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6035, predictive_accuracy: 0.6022, prior_entropy: 1, recall: 0.6022, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5759, kappa: 0.1533, kb_relative_information_score: 767.9026, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5773, predictive_accuracy: 0.5768, prior_entropy: 1, recall: 0.5768, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6505, root_relative_squared_error: 1.3011, scimark_benchmark: 1371.4836, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6025, kappa: 0.2203, kb_relative_information_score: 475.8841, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6197, predictive_accuracy: 0.6106, prior_entropy: 1, recall: 0.6106, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9797, scimark_benchmark: 1339.5666, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5759, kappa: 0.1533, kb_relative_information_score: 767.9026, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5773, predictive_accuracy: 0.5768, prior_entropy: 1, recall: 0.5768, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6505, root_relative_squared_error: 1.3011, scimark_benchmark: 1292.5208, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5837, kappa: 0.1995, kb_relative_information_score: 418.7651, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9703, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6025, kappa: 0.2203, kb_relative_information_score: 475.8841, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6197, predictive_accuracy: 0.6106, prior_entropy: 1, recall: 0.6106, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9797, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5837, kappa: 0.1995, kb_relative_information_score: 418.7651, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9703, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6455, kappa: 0.2921, kb_relative_information_score: 751.2323, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6472, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9356, scimark_benchmark: 1309.4998, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5837, kappa: 0.1995, kb_relative_information_score: 418.7651, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9703, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6006, kappa: 0.204, kb_relative_information_score: 394.8584, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6035, predictive_accuracy: 0.6022, prior_entropy: 1, recall: 0.6022, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5837, kappa: 0.1995, kb_relative_information_score: 418.7651, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9703, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6319, kappa: 0.2642, kb_relative_information_score: 746.3666, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6325, predictive_accuracy: 0.6322, prior_entropy: 1, recall: 0.6322, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9553, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.587, kappa: 0.215, kb_relative_information_score: 460.1427, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6348, predictive_accuracy: 0.6082, prior_entropy: 1, recall: 0.6082, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9675, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5847, kappa: 0.2051, kb_relative_information_score: 427.8357, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6243, predictive_accuracy: 0.6032, prior_entropy: 1, recall: 0.6032, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.6421, kappa: 0.2846, kb_relative_information_score: 869.1943, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6428, predictive_accuracy: 0.6424, prior_entropy: 1, recall: 0.6424, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9314, scimark_benchmark: 1343.4596, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.5717, kappa: 0.1438, kb_relative_information_score: 739.5159, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5721, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1448, scimark_benchmark: 1342.6911, usercpu_time_millis: 2060, usercpu_time_millis_testing: 2060,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5955, kappa: 0.1963, kb_relative_information_score: 734.0573, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6009, predictive_accuracy: 0.5984, prior_entropy: 1, recall: 0.5984, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1213, scimark_benchmark: 1151.6869, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.5846, kappa: 0.1701, kb_relative_information_score: 454.5347, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5856, predictive_accuracy: 0.5852, prior_entropy: 1, recall: 0.5852, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 1321.7236, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6036, kappa: 0.2075, kb_relative_information_score: 749.3029, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6039, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 882.7843, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.5847, kappa: 0.1698, kb_relative_information_score: 566.8154, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5851, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1321.8733, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6465, kappa: 0.2942, kb_relative_information_score: 749.2314, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6481, predictive_accuracy: 0.6472, prior_entropy: 1, recall: 0.6472, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9348, scimark_benchmark: 1298.6659, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6319, kappa: 0.2642, kb_relative_information_score: 746.3666, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6325, predictive_accuracy: 0.6322, prior_entropy: 1, recall: 0.6322, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9553, scimark_benchmark: 1366.5423, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6319, kappa: 0.2642, kb_relative_information_score: 746.3666, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6325, predictive_accuracy: 0.6322, prior_entropy: 1, recall: 0.6322, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9553, scimark_benchmark: 1327.4647, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.4181, kappa: 0.0547, kb_relative_information_score: 84.5266, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6137, predictive_accuracy: 0.529, prior_entropy: 1, recall: 0.529, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.1152, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.4099, kappa: 0.0578, kb_relative_information_score: 23.1479, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6563, predictive_accuracy: 0.5306, prior_entropy: 1, recall: 0.5306, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9969, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5502, kappa: 0.1131, kb_relative_information_score: 304.7467, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.5601, predictive_accuracy: 0.557, prior_entropy: 1, recall: 0.557, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0248, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6398, kappa: 0.2806, kb_relative_information_score: 748.1254, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6412, predictive_accuracy: 0.6404, prior_entropy: 1, recall: 0.6404, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9388, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.6309, kappa: 0.2626, kb_relative_information_score: 738.5879, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6319, predictive_accuracy: 0.6314, prior_entropy: 1, recall: 0.6314, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1315.395, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5838, kappa: 0.1761, kb_relative_information_score: 408.5541, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.592, predictive_accuracy: 0.5884, prior_entropy: 1, recall: 0.5884, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0042, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6035, kappa: 0.2081, kb_relative_information_score: 591.8126, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6048, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.973, scimark_benchmark: 1325.2092, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.6133, kappa: 0.2281, kb_relative_information_score: 591.6981, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6151, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9605, scimark_benchmark: 1318.1432, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6046, kappa: 0.2102, kb_relative_information_score: 496.6646, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6057, predictive_accuracy: 0.6052, prior_entropy: 1, recall: 0.6052, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9613, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.5941, kappa: 0.1954, kb_relative_information_score: 320.3606, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6014, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9727, scimark_benchmark: 929.0363, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.6043, kappa: 0.2415, kb_relative_information_score: 287.4911, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6455, predictive_accuracy: 0.6214, prior_entropy: 1, recall: 0.6214, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9705, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.596, kappa: 0.193, kb_relative_information_score: 648.2848, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.597, predictive_accuracy: 0.5966, prior_entropy: 1, recall: 0.5966, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0201, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6029, kappa: 0.2069, kb_relative_information_score: 755.4423, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.5, number_of_instances: 5000, precision: 0.6041, predictive_accuracy: 0.6036, prior_entropy: 1, recall: 0.6036, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0563, scimark_benchmark: 942.9518, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,

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