TABLE 1. Demonstration of the High Performance of Deep Learning Approach Over Machine Learning.

Procedure	F1 score for Class			Accuracy
	Class 0	Class 1	Class 2
Random Forest	0.95890	0.66315	0.68124	0.92689
Naïve Bayes	0.29003	0.02210	0.05677	0.18305
KNN (K = 4)	0.94294	0.33855	0.40343	0.88601
KNN (K = 5)	0.92958	0.33058	0.37620	0.86321
KNN (K = 6)	0.93416	0.33537	0.38710	0.87146
CNN (1 layer)	0.92760	0.40901	0.34286	0.85941
CNN (2 layer)	0.97529	0.71035	0.88293	0.95453
Proposed	0.98075	0.75703	0.93734	0.96502