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

Table 2

Classification accuracy comparison of MLSTM classifier’s for mental health analysis during pandemic by classifying two classes of emotions.

Method	Validation technique	Accuracy
		Max	Avg	Min
MLSTM_1	70–30	63.76	60.24	57.87
MLSTM_2	70–30	77.43	74.34	70.19
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.