TABLE IV. Performance Evaluation of boost Scheme With State-of-the-Art Approaches.

Reference	Method/Approach	% Error (in RMSE)	No. of days predicted	Data-driven decisions
Tomar et al. [31]	LSTM.	4.96%	5	Validating transmission rate of the disease amid preventive measures
Arora et al. [32]	Deep, Convolutional and Bidirectional LSTM	3.22%	7	State wise spread analysis and classification into mild, moderate and severe zone
Chimmula et al. [42]	LSTM	6.2%	28	Trend analysis of COVID-19, estimating the pandemic to end by 2020
boost (Proposed scheme)	LSTM (Unidirectional + Bidirectional layer)	1.2%	30	Subsegment picker analysis for providing optimal days for economy boosting activities