Table 6.

The performance of several classification models.

Model	Mean Accuracy	Lowest Accuracy	MSE
Logistic Regression	0.430	0.417	4.0109
Naive Byes	0.362	0.339	4.1813
AdaBoost	0.373	0.355	4.0822
SVM	0.441	0.432	3.9632
K-Nearest Neighbor	0.952	0.947	0.2989
ETC	0.965	0.962	0.1765
DTC	0.964	0.960	0.1733
GBC	0.968	0.965	0.1755
XGBC	0.967	0.962	0.1847