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Kitty [74]
3 years ago
10

Say our confusion matrix is as follows, calculate precision, recall, and accuracy. Interpret the results for the positive class.

Show and explain work.
[25 4
3 25]
Computers and Technology
1 answer:
SashulF [63]3 years ago
7 0
It can also be calculated as 1 – specificity. False positive rate is calculated as the number of incorrect positive predictions (FP) divided by the total number of negatives (N
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Write a program that accepts a positive integer N as command-line argument, and outputs True if N is the square of some integer,
Ann [662]

Answer:

In Python:

N = int(input("Positive integer: "))

if N > 0:

   flag = False

   for i in range(1,N+1):

       if i * i == N:

           flag = True

           break

   print(str(flag))

else:

   print("Positive integer only")

   

Explanation:

N = int(input("Positive integer: "))

If the number is positive

if N > 0:

This initializes a boolean variable to false

   flag = False

This iterates from 1 to the input integer

   for i in range(1,N+1):

This checks if th number is a square of some integer

       if i * i == N:

If yes, flag is set to true

           flag = True

The loop is exited

           break

This prints either true or false, depending on the result of the loop

   print(str(flag))

If otherwise, that the number is not positive

<em>else:</em>

<em>    print("Positive integer only")</em>

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2 years ago
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