Question $2$

The tables below show the result of two algorithms for a prediction case with Yes being the target value.

$\backslash$table$[[$Algorithm A$],[$Data$,$Prediction,Results$],[$Yes$,,$True Positive$],[$No$,$No$,],[$Yes$,$No$,]]$

$\backslash$table$[[$Algorithm B$],[$Data$,$Prediction,Results$],[,$Yes,False Positive$],[$Yes$,$No$,],[$Yes$,$Yes,$]]$

$1.$Fill in the missing blanks in the tables?

$2.$Compute the measures of both algorithms?

$3.$Choose which algorithm performed the best? Explain your reasoning