$./$a$.$out train.data test.data classify

Output differs. See highlights below.

Input

Your output

Usage

for classify:

$./$ a

classify

$")$;

return $1$;

$\}$

double sepal$\_$length $=$ atof$($argv$[4])$;

double sepal$\_$width $=$ atof$($argv$[5])$;

double petal$\_$length $=$ atof$($argv$[6])$;

double petal$\_$width $=$ atof$($argv$[7])$;

int predicted$\_$label $=$ nearestNeighbor$($sepal$\_$lengths, sepal$\_$widths, petal$\_$lengths, petal$\_$widths, labels, length,

sepal$\_$length, sepal$\_$width, petal$\_$length, petal$\_$width$)$;

const char $*$labels$[]=\{"$Iris$-$setosa", "Iris$-$versicolor", "Iris$-$virginica"$\}$;

printf$("$Flower characteristics: Prediction: $\%$d $(\%$s$)$

$",$ predicted$\_$label, labels$[$predicted$\_$label$])$;

$\}$ else $\{$

printf$("$Unknown action

$")$;

printf$("$Usage: $./$a train$\_$filename test$\_$filename $[$display$|$stats$|$accuracy$|$classify$]$

$")$;

return $1$;

$\}$

return $0$;

$\}$

$```$