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: 0.6577, 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: 1310.6554,
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: 1350.2591,
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: 1349.1517,
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: 1347.1763,
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: 1319.4538,
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: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1324.7884,
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: 1319.4538,
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: 1316.5668,
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: 0.6932, 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: 1318.4315,
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: 1345.6844, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1332.1612,
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: 1310.3168, 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: 1346.1568,
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: 1313.5633,
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: 1321.8321,
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: 1342.2845,
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: 1374.9737,
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: 1326.2019,
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: 1342.2845,
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: 1339.4412,
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: 1310.6554,
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: 1338.5214, 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: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, 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: 1346.0226,
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: 1321.8321, 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: 1352.9101, 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: 1345.7919,
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: 1325.6322,
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: 1303.9481,
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: 1337.4384, 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: 1333.1149,
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: 1342.6744, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, 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: 1344.0499,
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: 1329.8008,
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: 1382.5085,
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: 1316.6799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6998, kappa: 0.399, kb_relative_information_score: 22.2691, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6999, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0127, scimark_benchmark: 1297.2338, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7143, kappa: 0.429, kb_relative_information_score: 29.9532, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7155, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695, scimark_benchmark: 1449.4352, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.7138, kappa: 0.43, kb_relative_information_score: 19.9598, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.718, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9729, scimark_benchmark: 909.1698,
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: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6514, kappa: 0.3092, kb_relative_information_score: 17.0138, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6635, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.0459, scimark_benchmark: 1337.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6514, kappa: 0.3092, kb_relative_information_score: 17.0138, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6635, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.0459, scimark_benchmark: 1360.2771,
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: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.7833, mean_absolute_error: 0.2775, 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: 0.5555, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8685, scimark_benchmark: 1341.994,
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: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.6842, kappa: 0.3689, kb_relative_information_score: 18.9371, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8773, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 23.3939, mean_absolute_error: 0.3431, 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: 0.6868, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9359, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6566, kappa: 0.3126, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, 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: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 944.4621, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.691, kappa: 0.4058, kb_relative_information_score: 19.6183, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7349, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9246, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.6429, kappa: 0.2857, kb_relative_information_score: 16.2931, mean_absolute_error: 0.3955, 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: 0.7916, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9189, scimark_benchmark: 1347.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 31.9554, mean_absolute_error: 0.2714, 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: 0.5433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 33.9577, mean_absolute_error: 0.2571, 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: 0.5147, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7138, kappa: 0.4272, kb_relative_information_score: 29.9532, mean_absolute_error: 0.2857, 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: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 31.9554, mean_absolute_error: 0.2714, 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: 0.5433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7286, kappa: 0.4571, kb_relative_information_score: 22.9837, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.729, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.934, scimark_benchmark: 1361.2664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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