Task $2$B $(5)$

Models with low degrees of complexity are more straightforward and have fewer parameters than their more

complex counterparts $($Sajee$,2020).$

Consulting your study material and accessing any of the AI tools readily available on the Internet, as well as articles

from accredited journals available on Google Scholar or STADIO$$s online library, provide an example of an application

$($how the model will be utilised$)$ for each of the following models with low complexity:

a$)$ Linear regression $(1)$

b$)$ Decision trees $(1)$

c$)$ Na$$ve Bayes $(1)$

d$)$ Logistic regression $(1)$

e$)$ Rule$-$based systems $(1)$