provide python code and detailed explaination for each step for the task below.

The basic functionality of data processing $($data initialization, data insertion$),$ should be done using Numpy library while the computation $($ML$)$ part should be done using Scikit$-$learn library as much as possible $($note: you can combine with what you've done from the previous tasks$).$

Use precision$\_$score and recall$\_$score function in scikit$-$learn

Create a Python program:

The program asks the user for input N $($positive integer$)$ and reads it$.$

Then the program asks the user to provide N $($x$,$ y$)$ points $($one by one$)$ and reads all of them: first: x value, then: y value for every point one by one. X is treated as the ground truth $($correct$)$ class label and Y is treated as the predicted class. Both X and Y are either $0$ or $1.$

In the end, the program outputs: the Precision and Recall based on the inputs.