sustaining_gazes/matlab_runners/Action Unit Experiments/results/SEMAINE_valid_res.txt

AU2 class, Precision - 0.369, Recall - 0.744, F1 - 0.493
AU12 class, Precision - 0.427, Recall - 0.782, F1 - 0.553
AU17 class, Precision - 0.126, Recall - 0.815, F1 - 0.219
AU25 class, Precision - 0.344, Recall - 0.574, F1 - 0.430
AU28 class, Precision - 0.486, Recall - 0.475, F1 - 0.481
AU45 class, Precision - 0.289, Recall - 0.621, F1 - 0.394
Some cleanup and making sure all the tests run on Windows 2016-07-22 17:28:45 +02:00			`AU2 class, Precision - 0.369, Recall - 0.744, F1 - 0.493`
A lot of changes: - New AU recognition models trained on extra datasets - Bosphorus, UNBC, FERA2011 - Cleaner and clearer separation of static and dynamic AU models - AU training code cleaned up and instructions added - bug fixes with median feature computation - AU prediction correction (smoothing and shifting) with post processing 2016-07-22 15:35:50 +02:00			`AU12 class, Precision - 0.427, Recall - 0.782, F1 - 0.553`
Some cleanup and making sure all the tests run on Windows 2016-07-22 17:28:45 +02:00			`AU17 class, Precision - 0.126, Recall - 0.815, F1 - 0.219`
			`AU25 class, Precision - 0.344, Recall - 0.574, F1 - 0.430`
A lot of changes: - New AU recognition models trained on extra datasets - Bosphorus, UNBC, FERA2011 - Cleaner and clearer separation of static and dynamic AU models - AU training code cleaned up and instructions added - bug fixes with median feature computation - AU prediction correction (smoothing and shifting) with post processing 2016-07-22 15:35:50 +02:00			`AU28 class, Precision - 0.486, Recall - 0.475, F1 - 0.481`
Some cleanup and making sure all the tests run on Windows 2016-07-22 17:28:45 +02:00			`AU45 class, Precision - 0.289, Recall - 0.621, F1 - 0.394`