Mood Detection from Physical and Neurophysical Data Using Deep Learning Models

Table 5

Accuracy percentages of deep learning algorithms in terms of each user.

User	FFNN	CNN	RNN	LSTM
1	72.34	83.56	78.49	82.35
2	65.42	74.45	67.30	75.58
3	66.90	74.52	68.24	76.21
4	69.38	81.24	77.05	77.34
5	65.17	79.90	75.42	74.80
6	65.88	78.17	76.10	75.39
7	73.81	76.35	73.86	73.96
8	70.56	75.28	74.55	72.47
9	66.34	76.34	75.29	73.56
10	71.13	82.50	76.92	75.30
11	72.38	83.09	76.66	77.12
12	70.15	81.24	77.81	79.36
13	69.30	80.40	75.20	77.08
14	69.44	80.51	74.70	75.22
15	67.27	78.36	75.30	76.13
Average	69.03	79.06	74.86	76.12