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

AU1 class, Precision - 0.393, Recall - 0.727, F1 - 0.510
AU2 class, Precision - 0.266, Recall - 0.850, F1 - 0.405
AU4 class, Precision - 0.512, Recall - 0.874, F1 - 0.646
AU5 class, Precision - 0.294, Recall - 0.968, F1 - 0.450
AU6 class, Precision - 0.346, Recall - 0.833, F1 - 0.489
AU7 class, Precision - 0.793, Recall - 0.750, F1 - 0.771
AU9 class, Precision - 0.315, Recall - 0.960, F1 - 0.474
AU10 class, Precision - 0.349, Recall - 0.773, F1 - 0.481
AU12 class, Precision - 0.674, Recall - 0.864, F1 - 0.757
AU14 class, Precision - 0.183, Recall - 0.863, F1 - 0.302
AU15 class, Precision - 0.183, Recall - 0.851, F1 - 0.302
AU17 class, Precision - 0.293, Recall - 0.889, F1 - 0.441
AU20 class, Precision - 0.114, Recall - 0.930, F1 - 0.203
AU23 class, Precision - 0.107, Recall - 0.889, F1 - 0.190
AU25 class, Precision - 0.860, Recall - 0.873, F1 - 0.866
AU26 class, Precision - 0.359, Recall - 0.811, F1 - 0.497
AU45 class, Precision - 0.318, Recall - 0.771, F1 - 0.450
Big restructure of the code, moving closer to a new version with a GUI: - Adding a new boost version (1.63) - Decoupling FaceAnalyser from LandmarkDetector - FaceAnalyser is much easier to load with a parameters class - Moving GazeAnalyser as a separate library - GUI now uses new FaceAnalyser, LandmarkDetector, and GazeAnalyser 2017-05-18 21:04:38 +00:00			`AU1 class, Precision - 0.393, Recall - 0.727, F1 - 0.510`
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 13:35:50 +00:00			`AU2 class, Precision - 0.266, Recall - 0.850, F1 - 0.405`
Big restructure of the code, moving closer to a new version with a GUI: - Adding a new boost version (1.63) - Decoupling FaceAnalyser from LandmarkDetector - FaceAnalyser is much easier to load with a parameters class - Moving GazeAnalyser as a separate library - GUI now uses new FaceAnalyser, LandmarkDetector, and GazeAnalyser 2017-05-18 21:04:38 +00:00			`AU4 class, Precision - 0.512, Recall - 0.874, F1 - 0.646`
			`AU5 class, Precision - 0.294, Recall - 0.968, F1 - 0.450`
			`AU6 class, Precision - 0.346, Recall - 0.833, F1 - 0.489`
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 13:35:50 +00:00			`AU7 class, Precision - 0.793, Recall - 0.750, F1 - 0.771`
Big restructure of the code, moving closer to a new version with a GUI: - Adding a new boost version (1.63) - Decoupling FaceAnalyser from LandmarkDetector - FaceAnalyser is much easier to load with a parameters class - Moving GazeAnalyser as a separate library - GUI now uses new FaceAnalyser, LandmarkDetector, and GazeAnalyser 2017-05-18 21:04:38 +00:00			`AU9 class, Precision - 0.315, Recall - 0.960, F1 - 0.474`
			`AU10 class, Precision - 0.349, Recall - 0.773, F1 - 0.481`
			`AU12 class, Precision - 0.674, Recall - 0.864, F1 - 0.757`
			`AU14 class, Precision - 0.183, Recall - 0.863, F1 - 0.302`
			`AU15 class, Precision - 0.183, Recall - 0.851, F1 - 0.302`
			`AU17 class, Precision - 0.293, Recall - 0.889, F1 - 0.441`
			`AU20 class, Precision - 0.114, Recall - 0.930, F1 - 0.203`
			`AU23 class, Precision - 0.107, Recall - 0.889, F1 - 0.190`
			`AU25 class, Precision - 0.860, Recall - 0.873, F1 - 0.866`
			`AU26 class, Precision - 0.359, Recall - 0.811, F1 - 0.497`
			`AU45 class, Precision - 0.318, Recall - 0.771, F1 - 0.450`