MSE		It is the mean difference between the actual and predicted values
R2		It is the representation of goodness of fit, how well the actual and predicted values fit
MAE		It determines the average of the absolute errors between the predicted and actual values
Accuracy (Trian and test accuracy)		It is the ratio of samples correctly classified and the total number of samples
Precision		It is defined as the ratio of the number of attack samples detected correctly and the total number of actual attack samples
Recall		It is defined as the ability of a model to classify all attack samples correctly
F-Score		It is a balancing factor of both precision and recall
Time in execution(s)	time.time-begin_time	Time between the start and end of the execution of the proposed model