[Retracted] A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

Table 3

MLSTM_3 vs other ML models.

Method	Partition	Accuracy
		Max	Avg	Min
MLP	70–30	75.34	72.66	69.53
KNN	70–30	72.42	70.12	68.86
SVM	70–30	78.23	76.53	74.58
LibSVM	70–30	81.72	79.42	77.46
CNN	70–30	79.72	75.28	72.99
MLSTM_3	70–30	91.26	88.92	85.18

Bold shows the maximum, average, and minimum accuracy values in percentage obtained when MLSTM_3, the proposed classifier, is applied for data classification. The table compares accuracy values when ML models are used and when the proposed classifier is applied.