Classification of emotions based on electrodermal activity and transfer learning - a pilot study

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Results using the full CWT applied EDA dataset with synthetic data_ The parameters are set to: test size = 20 and trees = 100_

test size = 20			trees = 100
		precision	recall	f1-score	support
amusement		1.00	0.50	0.67	4
anger		0.60	0.75	0.67	4
disgust		0.33	0.25	0.29	4
fear		1.00	1.00	1.00	6
neutral		0.80	0.44	0.57	9
sadness		0.27	0.60	0.37	5
accuracy				0.59	32
macro avg		0.67	0.59	0.59	32
weighted avg		0.70	0.59	0.61	32

Results using the 3 class CWT EDA data with synthetic data_ Test size = 20 and trees = 300_

test size = 20			trees = 600
		precision	recall	f1-score	support
amusement		1.00	0.80	0.89	5
disgust		0.80	0.67	0.73	6
sadness		0.71	1.00	0.83	5
accuracy				0.81	16
macro avg		0.84	0.82	0.82	16
weighted avg		0.84	0.81	0.81	16

Results using the CWT treated EDA data with test size = 20 and trees = 100_

test size = 20			trees = 100
		precision	recall	f1-score	support
amusement		0.75	0.75	0.75	4
anger		0.00	0.00	0.00	2
disgust		1.00	0.25	0.40	8
fear		0.00	0.00	0.00	1
neutral		0.00	0.00	0.00	2
sadness		0.15	0.67	0.25	3
accuracy				0.35	20
macro avg		0.32	0.28	0.23	20
weighted avg		0.57	0.35	0.35	20

Category of emotion and how many times the emotion was reported_

Emotion	Number of samples
Amusement	20
Anger	9
Disgust	24
Fear	5
Neutral	15
Sadness	26
Tenderness	1