$2$ Marks$\backslash$

Consider a RandomizedSearchCV with the following parameters$\backslash$

param$\_$grid$=\{\text{'}$n$\_$estimators $\text{'}$: $\frac{5}{\frac{?}{?}}\frac{?}{},100,150,200,\backslash$

'learning$\_$rate': $[0\mathrm{.}01,0\mathrm{.}1\frac{,}{\frac{?}{?}}\frac{?}{\mathrm{.}2},0\mathrm{.}3]\backslash$

gb $=$ GradientBoostingClassifier$($random$\_$state$=1)\backslash$

#Calling RandomizedSearchcV$\backslash$

clf $=$ RandomizedSearchcv$($estimator$=$gb$,$ param$\_$distril$\backslash$

clf$.$fit$($x$\_$train,y$\_$train$)\backslash$

How many times will the randomized search fit the model?