Task
Supervised Classification on chscase_census5

Supervised Classification on chscase_census5

Task 3769 Supervised Classification chscase_census5 577 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: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0312, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.4871, kappa: -0.0256, kb_relative_information_score: -6.069, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4877, predictive_accuracy: 0.49, prior_entropy: 0.9991, recall: 0.49, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0439, scimark_benchmark: 1331.2559, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: -2.351, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063, scimark_benchmark: 1313.9976, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4185, f_measure: 0.4512, kappa: -0.0897, kb_relative_information_score: -12.6618, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4535, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0389, scimark_benchmark: 1360.0477, usercpu_time_millis: 2680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4185, f_measure: 0.4512, kappa: -0.0897, kb_relative_information_score: -12.6618, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4535, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0389, scimark_benchmark: 1341.5795, usercpu_time_millis: 2560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.4871, kappa: -0.0256, kb_relative_information_score: -6.069, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4877, predictive_accuracy: 0.49, prior_entropy: 0.9991, recall: 0.49, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0439, scimark_benchmark: 1278.6629, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5095, kappa: 0.0195, kb_relative_information_score: 0.9904, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5105, predictive_accuracy: 0.5125, prior_entropy: 0.9991, recall: 0.5125, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0276, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4185, f_measure: 0.4512, kappa: -0.0897, kb_relative_information_score: -12.6618, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4535, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0389, scimark_benchmark: 1309.2287, usercpu_time_millis: 2720, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: -2.351, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5095, kappa: 0.0195, kb_relative_information_score: 0.9904, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5105, predictive_accuracy: 0.5125, prior_entropy: 0.9991, recall: 0.5125, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0276, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4185, f_measure: 0.4512, kappa: -0.0897, kb_relative_information_score: -12.6618, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4535, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0389, scimark_benchmark: 1360.6367, usercpu_time_millis: 2440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5095, kappa: 0.0195, kb_relative_information_score: 0.9904, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5105, predictive_accuracy: 0.5125, prior_entropy: 0.9991, recall: 0.5125, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0276, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1375.1578,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0332, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1310.6554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4851, kappa: -0.0309, kb_relative_information_score: -3.1424, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4852, predictive_accuracy: 0.485, prior_entropy: 0.9991, recall: 0.485, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0485, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4386, f_measure: 0.4358, kappa: -0.1237, kb_relative_information_score: -46.7849, mean_absolute_error: 0.5575, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4366, predictive_accuracy: 0.4425, prior_entropy: 0.9991, recall: 0.4425, relative_absolute_error: 1.1164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7467, root_relative_squared_error: 1.4942, usercpu_time_millis: 2.546, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 2.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.4766, kappa: -0.0483, kb_relative_information_score: -18.7358, mean_absolute_error: 0.5225, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4764, predictive_accuracy: 0.4775, prior_entropy: 0.9991, recall: 0.4775, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7228, root_relative_squared_error: 1.4466, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4529, f_measure: 0.4483, kappa: -0.095, kb_relative_information_score: -34.7639, mean_absolute_error: 0.5425, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4506, predictive_accuracy: 0.4575, prior_entropy: 0.9991, recall: 0.4575, relative_absolute_error: 1.0863, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7365, root_relative_squared_error: 1.474, usercpu_time_millis: 20.828, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 18.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.4608, kappa: -0.0369, kb_relative_information_score: -8.7183, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4778, predictive_accuracy: 0.49, prior_entropy: 0.9991, recall: 0.49, relative_absolute_error: 1.0212, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4292, usercpu_time_millis: 0.423, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4386, f_measure: 0.4358, kappa: -0.1237, kb_relative_information_score: -46.7849, mean_absolute_error: 0.5575, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4366, predictive_accuracy: 0.4425, prior_entropy: 0.9991, recall: 0.4425, relative_absolute_error: 1.1164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7467, root_relative_squared_error: 1.4942, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.3688, kappa: -0.0327, kb_relative_information_score: -0.7043, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4159, predictive_accuracy: 0.5, prior_entropy: 0.9991, recall: 0.5, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4151, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, usercpu_time_millis: 1.25, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.5087, kappa: 0.0188, kb_relative_information_score: 9.3132, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5102, predictive_accuracy: 0.5125, prior_entropy: 0.9991, recall: 0.5125, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6982, root_relative_squared_error: 1.3973, usercpu_time_millis: 4.392, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 4.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, usercpu_time_millis: 1.322, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.4724, kappa: -0.0524, kb_relative_information_score: -18.7358, mean_absolute_error: 0.5225, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4737, predictive_accuracy: 0.4775, prior_entropy: 0.9991, recall: 0.4775, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7228, root_relative_squared_error: 1.4466, usercpu_time_millis: 80.941, usercpu_time_millis_testing: 4.912, usercpu_time_millis_training: 76.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4382, f_measure: 0.4345, kappa: -0.1244, kb_relative_information_score: -46.7849, mean_absolute_error: 0.5575, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4357, predictive_accuracy: 0.4425, prior_entropy: 0.9991, recall: 0.4425, relative_absolute_error: 1.1164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7467, root_relative_squared_error: 1.4942, usercpu_time_millis: 1.441, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: 5.3062, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4044, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 1.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.441, f_measure: 0.438, kappa: -0.1188, kb_relative_information_score: -44.7814, mean_absolute_error: 0.555, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.439, predictive_accuracy: 0.445, prior_entropy: 0.9991, recall: 0.445, relative_absolute_error: 1.1114, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4909, usercpu_time_millis: 0.149, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.496, kappa: -0.0031, kb_relative_information_score: 1.2992, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.499, predictive_accuracy: 0.5025, prior_entropy: 0.9991, recall: 0.5025, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7053, root_relative_squared_error: 1.4115, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4584, kappa: -0.0061, kb_relative_information_score: 5.3062, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.496, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4044, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: 5.3062, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4044, usercpu_time_millis: 2.059, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4386, f_measure: 0.4358, kappa: -0.1237, kb_relative_information_score: -46.7849, mean_absolute_error: 0.5575, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4366, predictive_accuracy: 0.4425, prior_entropy: 0.9991, recall: 0.4425, relative_absolute_error: 1.1164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7467, root_relative_squared_error: 1.4942, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.578,

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