Assembly$-$line work it is not suited for everybody because it is tedious and repetitive. A production manager would like to predict whether a newly hired worker will stay in the job for at least one year $($Stay equals $1$ if a new hire stays for at least one year, $0$ otherwise$).$ Predictor variables include age, sex $($Female equals $1$ if female, $0$ otherwise$),$ and whether the worker has worked on an assembly line before $($Assembly equals $1$ if worked before, $0$ otherwise$).$ The accompanying file includes data for $32$ assembly$-$line workers.

Stay Age Female Assembly

$03510$

$02610$

$13500$

$02800$

$13110$

$03110$

$15501$

$02300$

$02210$

$14300$

$12511$

$04610$

$02201$

$12901$

$12901$

$15811$

$03700$

$04401$

$15511$

$13211$

$13810$

$03200$

$02501$

$12811$

$14711$

$13211$

$02800$

$15201$

$01900$

$04111$

$14010$

$13801$

Compute the accuracy rates of both models.

Note: Do not round intermediate calculations and round final answers to $2$ decimal places.