Task
Supervised Classification on fri_c4_500_50

Supervised Classification on fri_c4_500_50

Task 3670 Supervised Classification fri_c4_500_50 568 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 100.6643, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9771, scimark_benchmark: 1335.5424, usercpu_time_millis: 670, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.858, kappa: 0.7153, kb_relative_information_score: 247.48, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9978, recall: 0.858, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6982, scimark_benchmark: 1351.5471, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 284.845, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6505, scimark_benchmark: 1299.6719, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 167.4083, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7606, scimark_benchmark: 1351.1238, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7632, kappa: 0.5246, kb_relative_information_score: 240.3469, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7644, predictive_accuracy: 0.764, prior_entropy: 0.9978, recall: 0.764, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8866, scimark_benchmark: 1332.9478, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 100.6643, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9771, scimark_benchmark: 1332.6745, usercpu_time_millis: 730, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.824, kappa: 0.6467, kb_relative_information_score: 278.1896, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6887, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.824, kappa: 0.6467, kb_relative_information_score: 278.1896, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6887, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 100.6643, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9771, scimark_benchmark: 1345.6844, usercpu_time_millis: 750, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1350.7721, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.824, kappa: 0.6467, kb_relative_information_score: 278.1896, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6887, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1331.4379, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7632, kappa: 0.5246, kb_relative_information_score: 240.3469, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7644, predictive_accuracy: 0.764, prior_entropy: 0.9978, recall: 0.764, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8866, scimark_benchmark: 1324.6442, usercpu_time_millis: 800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.824, kappa: 0.6467, kb_relative_information_score: 278.1896, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6887, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 167.4083, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7606, scimark_benchmark: 1331.2559, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.858, kappa: 0.7153, kb_relative_information_score: 247.48, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9978, recall: 0.858, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6982, scimark_benchmark: 1336.0954, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.824, kappa: 0.6467, kb_relative_information_score: 278.1896, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6887, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1333.0982, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 284.845, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6505, scimark_benchmark: 1324.7884, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7632, kappa: 0.5246, kb_relative_information_score: 240.3469, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7644, predictive_accuracy: 0.764, prior_entropy: 0.9978, recall: 0.764, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8866, scimark_benchmark: 1318.6467, usercpu_time_millis: 910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8461, kappa: 0.6917, kb_relative_information_score: 290.1815, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8468, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7142, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 167.4083, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7606, scimark_benchmark: 1342.8632, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 284.845, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6505, scimark_benchmark: 1340.9749, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8258, kappa: 0.6504, kb_relative_information_score: 280.1245, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6855, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6281, kappa: 0.2543, kb_relative_information_score: 126.3158, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6284, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2218, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6378, kappa: 0.2729, kb_relative_information_score: 136.3609, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6376, predictive_accuracy: 0.638, prior_entropy: 0.9978, recall: 0.638, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2052, usercpu_time_millis: 0.053, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 128.3249, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2185, usercpu_time_millis: 0.745, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.868, kappa: 0.7351, kb_relative_information_score: 367.3966, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9978, recall: 0.868, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7278, usercpu_time_millis: 247.265, usercpu_time_millis_testing: 6.265, usercpu_time_millis_training: 241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 128.3249, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2185, usercpu_time_millis: 0.415, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5474, kappa: 0.0934, kb_relative_information_score: 49.9736, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5493, predictive_accuracy: 0.552, prior_entropy: 0.9978, recall: 0.552, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3408, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5778, kappa: 0.1528, kb_relative_information_score: 76.0907, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5777, predictive_accuracy: 0.578, prior_entropy: 0.9978, recall: 0.578, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3013, usercpu_time_millis: 11.541, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7442, kappa: 0.4882, kb_relative_information_score: 242.8382, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7459, predictive_accuracy: 0.744, prior_entropy: 0.9978, recall: 0.744, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0135, usercpu_time_millis: 1.297, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 128.3249, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2185, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8346, kappa: 0.6684, kb_relative_information_score: 335.2525, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.836, prior_entropy: 0.9978, recall: 0.836, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8112, usercpu_time_millis: 40.855, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 40.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.6232, kappa: 0.2444, kb_relative_information_score: 124.3068, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6253, predictive_accuracy: 0.626, prior_entropy: 0.9978, recall: 0.626, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.225, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.638, kappa: 0.2736, kb_relative_information_score: 136.3609, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6379, predictive_accuracy: 0.638, prior_entropy: 0.9978, recall: 0.638, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2052, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.689, kappa: 0.3757, kb_relative_information_score: 188.595, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6897, predictive_accuracy: 0.69, prior_entropy: 0.9978, recall: 0.69, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1153, usercpu_time_millis: 15.664, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 14.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.81, kappa: 0.6187, kb_relative_information_score: 309.1354, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9978, recall: 0.81, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8732, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5176, kappa: 0.0542, kb_relative_information_score: 35.9106, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5327, predictive_accuracy: 0.538, prior_entropy: 0.9978, recall: 0.538, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3615, usercpu_time_millis: 0.289, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8, kappa: 0.5987, kb_relative_information_score: 299.0904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9978, recall: 0.8, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8958, usercpu_time_millis: 1.875, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7981, kappa: 0.5952, kb_relative_information_score: 297.0814, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7983, predictive_accuracy: 0.798, prior_entropy: 0.9978, recall: 0.798, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9003, usercpu_time_millis: 2.211, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 1.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.6321, kappa: 0.2623, kb_relative_information_score: 130.3339, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6324, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2152, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6542, kappa: 0.3066, kb_relative_information_score: 152.4329, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6545, predictive_accuracy: 0.654, prior_entropy: 0.9978, recall: 0.654, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1783, usercpu_time_millis: 1.626, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6357, kappa: 0.2687, kb_relative_information_score: 134.3519, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6356, predictive_accuracy: 0.636, prior_entropy: 0.9978, recall: 0.636, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2085, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.6301, kappa: 0.2582, kb_relative_information_score: 128.3249, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6303, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2185, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.6006, kappa: 0.1981, kb_relative_information_score: 100.1988, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6009, predictive_accuracy: 0.602, prior_entropy: 0.9978, recall: 0.602, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2637, usercpu_time_millis: 16.271, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 14.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.5741, kappa: 0.1501, kb_relative_information_score: 72.0727, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 0.9978, recall: 0.574, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3074, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.5771, kappa: 0.185, kb_relative_information_score: 102.2078, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6187, predictive_accuracy: 0.604, prior_entropy: 0.9978, recall: 0.604, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2605, usercpu_time_millis: 0.705, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.693,

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

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From your own software

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

OpenML APIs