Given the malware dataset, which includes input features $($x$1,$ x$2,$ x$3,$

x$4)$ and an output feature labeled 'Label':

i$.$ How would you apply Sequential Feature Selection $($SFS$)$ to determine the most

important features for predicting the 'Label'? Discuss the process and criteria you would

use to select or discard features.

ii$.$ If the Sequential Feature Selection process selects x$1$ and x$4$ as the most relevant

features, analyze the possible reasons for excluding x$2$ and x$3.$ How could this selection

affect the model$$s performance, and what steps would you take to validate the feature

selection?