Table 7 ML Models based on Prediction Error Assessment Using Datasets Obtained on 16 -17 Jun 2022.

Model	Datasets	MAE	MSE	RMSE	SAE	TIME
ARIMA	Training	0.003033	0.000040	0.006341	20.933	3.4701
ARIMA	Testing	0.002191	0.000024	0.004858	10.080
BP_Resilient	Training	0.072598	0.008426	0.091792	3,458,400.000	6.4682
BP_Resilient	Testing	0.048282	0.003549	0.059571	1,022,100.000
BP_SOG	Training	0.072567	0.008424	0.091782	3,456,900.000	1.1219
BP_SOG	Testing	0.047507	0.003444	0.058682	1,005,700.000
KNN	Training	0.007731	0.000111	0.010528	53.360	0.48229
KNN	Testing	0.007748	0.000104	0.010219	35.650
LR	Training	0.003033	0.000040	0.006341	20.933	2.4908
LR	Testing	0.002191	0.000024	0.004858	10.080
LSTM	Training	0.070842	0.052564	0.229270	1524.100	43.779
LSTM	Testing	0.045438	0.031038	0.176180	791.710
Perceptron	Training	0.777920	0.609390	0.780630	6902.000	0.95972
Perceptron	Testing	0.829480	0.689740	0.830510	4601.000
RF	Training	0.006211	0.000039	0.003172	21.896	1.5924
RF	Testing	0.002669	0.000025	0.005012	12.280
RNN	Training	0.072598	0.008430	0.091817	1532.500	1.2993
RNN	Testing	0.047337	0.003429	0.058554	784.090
SVM	Training	0.004607	0.000046	0.006777	31.800	1.4908
SVM	Testing	0.004554	0.000034	0.005794	20.954

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