Mood Detection from Physical and Neurophysical Data Using Deep Learning Models

Table 6

Accuracy, F-measure, precision, and recall results of all user data based both traditional machine learning algorithms and deep learning models.

Algorithm	Accuracy	F-measure	Precision	Recall
MNB	31.23	26.44	29.30	39.27
RF	62.56	54.81	58.11	70.35
SVR	57.45	52.17	55.92	65.84
DT	82.03	78.02	79.05	88.07
DIS	79.27	72.70	76.61	90.40
FNN	73.42	68.35	67.58	83.12
CNN	84.31	80.29	82.57	91.04
RNN	79.55	74.33	76.42	85.00
LSTM	80.17	74.25	71.25	87.66