Question $2.$

Create testBrnli by $0-1$ encoding testy variable

Transform testX into pandas data frame by with encoded values of all the features. The transformed data frame should still be called testX $.$

Create vector $($i$.$e$.$ numpy arrray$)$ of predictions, called yhattest $,$ based on the feature values from the test data.

If everything is fine, first couple of values of yhattest should be $1,0,0,1,1,0,0,1,0.$

In $24$ :

# your code here

In $[25]$: ## test whether first $4$ values of column testBrnli are correct

assert sum$($testBrnli$[$:$4]!=[1,0,0,0])==0$

## test whether first $9$ values of column yhattest are correct

assert sum$($yhattest$[$:$9]!=[1,0,0,1,1,0,0,1,0$

print$("$This is promissing! Your code has passed these tests! $\backslash$U$0001$f$600")$