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provide python code and detailed explaination for each step for the task below. The basic functionality of data processing ( data initialization, data insertion )
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 Scikitlearn library as much as possible note: you can combine with what you've done from the previous tasks
Use precisionscore and recallscore function in scikitlearn
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 or
In the end, the program outputs: the Precision and Recall based on the inputs.
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