You get $($A$)4$ training datasets and $($B$)$ one test dataset, as well as $($C$)$ datasets for $50$ ideal functions. All data

respectively consists of x$-$y$-$pairs of values.

Structure of all CSV$-$files provided:

X Y

x$1$ y$1$

$......$

xn yn

Your task is to write a Python$-$program that uses training data to choose the four ideal functions which are the

best fit out of the fifty provided $($C$)*.$

i$)$ Afterwards, the program must use the test data provided $($B$)$ to determine for each and every x$-$ypair of values whether or not they can be assigned to the four chosen ideal functions$**$; if so$,$ the

program also needs to execute the mapping and save it together with the deviation at hand

ii$)$ All data must be visualized logically

iii$)$ Where possible, create$/$ compile suitable unit$-$test