$5\mathrm{.}7$ Table $5\mathrm{.}7$ shows a small set of predictive model holdout results for a classification model, with both actual values and propensities.

a$.$ Calculate error rates, sensitivity$,$ and specificity using thresholds of $0\mathrm{.}25,0\mathrm{.}5,$ and $0\mathrm{.}75.$

b$.$ Create a decile$-$wise lift chart in $R.$

TABLE $5\mathrm{.}7$

PROPENSITIES AND ACTUAL CLASS MEMBERSHIP FOR HOLDOUT DATA

$\backslash$table$[[$Propensity of $1,$Actual$],[0\mathrm{.}03,0],[0\mathrm{.}52,0],[0\mathrm{.}38,1],[0\mathrm{.}82,0],[0\mathrm{.}33,0],[0\mathrm{.}42,1],[0\mathrm{.}55,0],[0\mathrm{.}59,0],[0\mathrm{.}09,0],[0\mathrm{.}21,0],[0\mathrm{.}43,0],[0\mathrm{.}04,0],[0\mathrm{.}08,0],[0\mathrm{.}13,0],[0\mathrm{.}01,1],[0\mathrm{.}79,0],[0\mathrm{.}42,0],[0\mathrm{.}29,0],[0\mathrm{.}08,0],[0\mathrm{.}02,]]$