OpenML
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3574 Supervised Classification rmftsa_sleepdata 421 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 941.3847, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.4174, kappa: 0.2397, kb_relative_information_score: 171.9175, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4062, predictive_accuracy: 0.5, prior_entropy: 1.8507, recall: 0.5, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9487, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.4813, kappa: 0.2634, kb_relative_information_score: 289.3676, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4765, predictive_accuracy: 0.4893, prior_entropy: 1.8507, recall: 0.4893, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0126, scimark_benchmark: 947.1781, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.3911, kappa: 0.2093, kb_relative_information_score: 161.3319, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3428, predictive_accuracy: 0.4785, prior_entropy: 1.8507, recall: 0.4785, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.955, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4685, kappa: 0.2681, kb_relative_information_score: 214.8728, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4617, predictive_accuracy: 0.5137, prior_entropy: 1.8507, recall: 0.5137, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9272, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 919.3788, usercpu_time_millis: 360, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.4955, kappa: 0.2956, kb_relative_information_score: 272.9724, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4876, predictive_accuracy: 0.5254, prior_entropy: 1.8507, recall: 0.5254, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.923, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.4174, kappa: 0.2397, kb_relative_information_score: 171.9175, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4062, predictive_accuracy: 0.5, prior_entropy: 1.8507, recall: 0.5, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9487, scimark_benchmark: 941.3057, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.4813, kappa: 0.2634, kb_relative_information_score: 289.3676, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4765, predictive_accuracy: 0.4893, prior_entropy: 1.8507, recall: 0.4893, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0126, scimark_benchmark: 1051.249, usercpu_time_millis: 430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.4727, kappa: 0.2646, kb_relative_information_score: 243.9734, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4646, predictive_accuracy: 0.5059, prior_entropy: 1.8507, recall: 0.5059, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.956, scimark_benchmark: 851.2074, usercpu_time_millis: 1770, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.4752, kappa: 0.2681, kb_relative_information_score: 244.154, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4668, predictive_accuracy: 0.5078, prior_entropy: 1.8507, recall: 0.5078, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9557, scimark_benchmark: 938.988, usercpu_time_millis: 1090, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.4743, kappa: 0.2662, kb_relative_information_score: 242.4316, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4666, predictive_accuracy: 0.5059, prior_entropy: 1.8507, recall: 0.5059, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.402, root_relative_squared_error: 0.959, scimark_benchmark: 906.8974, usercpu_time_millis: 820, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.4812, kappa: 0.2783, kb_relative_information_score: 244.6347, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4749, predictive_accuracy: 0.5156, prior_entropy: 1.8507, recall: 0.5156, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9559, scimark_benchmark: 869.7667, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.4766, kappa: 0.2713, kb_relative_information_score: 239.3814, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4703, predictive_accuracy: 0.5107, prior_entropy: 1.8507, recall: 0.5107, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9606, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.2232, kb_relative_information_score: 0.3698, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 162.9356, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.3127, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.4614, kappa: 0.2881, kb_relative_information_score: 208.4492, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4433, predictive_accuracy: 0.5342, prior_entropy: 1.8507, recall: 0.5342, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.387, root_relative_squared_error: 0.9234, scimark_benchmark: 942.6192, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.494, kappa: 0.2999, kb_relative_information_score: 215.3081, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4883, predictive_accuracy: 0.5293, prior_entropy: 1.8507, recall: 0.5293, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9286, scimark_benchmark: 923.7471, usercpu_time_millis: 1870, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.361, kappa: 0.1497, kb_relative_information_score: 75.3439, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3101, predictive_accuracy: 0.46, prior_entropy: 1.8507, recall: 0.46, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.976, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.3911, kappa: 0.2093, kb_relative_information_score: 161.3319, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3428, predictive_accuracy: 0.4785, prior_entropy: 1.8507, recall: 0.4785, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.955, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4685, kappa: 0.2681, kb_relative_information_score: 214.8728, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4617, predictive_accuracy: 0.5137, prior_entropy: 1.8507, recall: 0.5137, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9272, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 946.8777, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 938.838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.3911, kappa: 0.2093, kb_relative_information_score: 161.3319, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3428, predictive_accuracy: 0.4785, prior_entropy: 1.8507, recall: 0.4785, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.955, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 1352.3373, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.4174, kappa: 0.2397, kb_relative_information_score: 171.9175, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4062, predictive_accuracy: 0.5, prior_entropy: 1.8507, recall: 0.5, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9487, scimark_benchmark: 1341.3551, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.4813, kappa: 0.2634, kb_relative_information_score: 289.3676, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4765, predictive_accuracy: 0.4893, prior_entropy: 1.8507, recall: 0.4893, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0126, scimark_benchmark: 1371.174, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 1346.5986, usercpu_time_millis: 300, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.4955, kappa: 0.2956, kb_relative_information_score: 272.9724, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4876, predictive_accuracy: 0.5254, prior_entropy: 1.8507, recall: 0.5254, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.923, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.4813, kappa: 0.2634, kb_relative_information_score: 289.3676, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4765, predictive_accuracy: 0.4893, prior_entropy: 1.8507, recall: 0.4893, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0126, scimark_benchmark: 1278.6629, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.4718, kappa: 0.2736, kb_relative_information_score: 309.952, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4679, predictive_accuracy: 0.5166, prior_entropy: 1.8507, recall: 0.5166, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0662, scimark_benchmark: 1335.2029, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.3714, kappa: 0.167, kb_relative_information_score: 81.443, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.5532, predictive_accuracy: 0.4746, prior_entropy: 1.8507, recall: 0.4746, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.967, scimark_benchmark: 1328.1857, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 926.6704,

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