OpenML
Supervised Classification on hutsof99_logis

Supervised Classification on hutsof99_logis

Task 3669 Supervised Classification hutsof99_logis 538 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.5034, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8721, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6, kappa: 0.2007, kb_relative_information_score: 10.2332, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.601, predictive_accuracy: 0.6, prior_entropy: 0.9994, recall: 0.6, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.0817, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 11.5599, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1035, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6991, kappa: 0.402, kb_relative_information_score: 20.3011, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7054, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9192, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 20.077, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9077, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6571, kappa: 0.3137, kb_relative_information_score: 21.4519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6571, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.1538, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6566, kappa: 0.3126, kb_relative_information_score: 21.4519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6571, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.1538, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7138, kappa: 0.4272, kb_relative_information_score: 26.8473, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7145, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9061, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.545, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8713, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.3493, kb_relative_information_score: -0.212, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0022, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6712, kappa: 0.3439, kb_relative_information_score: 18.2319, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6735, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9946, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.614, kappa: 0.2273, kb_relative_information_score: 13.9021, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6141, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9894, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6131, kappa: 0.2311, kb_relative_information_score: 14.3002, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6182, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.078, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6857, kappa: 0.3709, kb_relative_information_score: 15.8091, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6857, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9601, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6429, kappa: 0.2857, kb_relative_information_score: 22.1265, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6433, predictive_accuracy: 0.6429, prior_entropy: 0.9994, recall: 0.6429, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.99, scimark_benchmark: 936.3373, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 20.077, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9077, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6712, kappa: 0.3439, kb_relative_information_score: 18.2319, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6735, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9946, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.614, kappa: 0.2273, kb_relative_information_score: 13.9021, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6141, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9894, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6131, kappa: 0.2311, kb_relative_information_score: 14.3002, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6182, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.078, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 905.2959, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 29.834, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9012, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6857, kappa: 0.3709, kb_relative_information_score: 15.8091, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6857, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9601, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 24.4415, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8789, scimark_benchmark: 935.5664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6429, kappa: 0.2857, kb_relative_information_score: 22.1265, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6433, predictive_accuracy: 0.6429, prior_entropy: 0.9994, recall: 0.6429, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.99, scimark_benchmark: 934.695, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 20.077, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9077, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 20.077, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9077, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6712, kappa: 0.3439, kb_relative_information_score: 18.2319, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6735, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9946, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 29.834, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9012, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6131, kappa: 0.2311, kb_relative_information_score: 14.3002, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6182, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.078, scimark_benchmark: 1336.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6712, kappa: 0.3439, kb_relative_information_score: 18.2319, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6735, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9946, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 29.834, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9012, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7714, kappa: 0.5425, kb_relative_information_score: 28.4645, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7714, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 20.077, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9077, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6712, kappa: 0.3439, kb_relative_information_score: 18.2319, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6735, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9946, scimark_benchmark: 1313.8988,

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