Table 4.

Performance assessment of ANN/HMM models when the dataset was partitioned into two parts with the training dataset containing two thirds of the data points randomly selected and the testing set containing the remaining one third of data points

ANN 180-2-1	H	MH	LMH
1st run	0.91	0.92	0.85
2nd run	0.96	0.95	0.90
3rd run	0.94	0.91	0.87
HMM	H	M	L
1st run	0.88	0.88	0.86
2nd run	0.86	0.88	0.83
3rd run	0.91	0.9	0.82