Table 2.

Comparison of backbone method accuracy rates

	Model	Accuracy
5	Ensemble	0.905350
0	Random Forest	0.884774
3	Logistic	0.884774
4	MLPClassifier	0.872428
2	SVM	0.810700
1	K-neighbors	0.662551