Table 8. Comparison with previous researches (Data from these researches were fed into the proposed method in this paper).

Researcher	[27]	[19]	Proposed Work
Preprocessing Method	Extract statistical features	PCA	MSFS
Features	4 Features	First 450 PCs	8 Features
Machine Learning	FFNN	FFNN	Naïve Bayes
Training/Validation/Testing Ratio	70/15/15	70/15/15	K-fold Cross Validation
Accuracy (%)	97.51	95.80	98.17

The dataset from [19, 27] were used in the proposed method for this analysis.