Mood Detection from Physical and Neurophysical Data Using Deep Learning Models

Table 4

Accuracy percentages of conventional machine learning algorithms and Decision Integration Strategy in terms of each user.

User	MNB	RF	SVR	DT	DIS
1	32.23	60.43	56.65	78.23	81.44
2	26.45	60.56	36.34	76.21	67.21
3	27.78	62.66	29.56	77.45	70.36
4	31.67	65.78	43.64	79.21	76.60
5	26.95	56.87	37.68	75.34	70.84
6	20.42	57.44	43.32	81.32	71.56
7	32.56	58.63	66.67	78.39	75.44
8	29.78	58.56	34.78	78.61	71.83
9	24.75	60.76	40.98	81.21	66.05
10	25.56	60.66	39.54	81.01	75.13
11	27.87	59.78	38.56	73.11	73.09
12	23.36	56.51	43.43	73.13	73.67
13	27.67	57.32	43.65	81.17	72.24
14	36.43	60.69	39.27	78.23	70.88
15	30.23	63.71	31.61	75.44	66.42
Average	28.25	60.02	41.71	77.87	72.18