Topic: Complex Predictive Models

Random Forest and Gradient Boosted Trees are both ensemble tree algorithms but $($Select one$)$

A$.$ Gradient Boosted Trees

wark well for regresuion, but

Random Forests do not.

B$.$ Random Foreits use trees

independently $($i$.$e$.$ a

'bagging' approach$),$ whlle in

Gradient Boosted trees, they

bulid on top of each other

$($i$.$e$.$ a 'boosting' approach$).$

C$.$ Gradient Boosted Trees is

generally considered the

better averall algorithm

whereas Random Forest is

now considered outdated.

D$.$ Raridem firests provide

batier predicife power, but

Gradent Bposted trees

pronde faster training time.