The data set contains targets and outputs from a machine learning algorithm after leave-one-out, 10-fold validation. Write a program in Python to read the testing results, compute confusion matrix and accuracy metrics for all testings. Plot the ROC curve using the true positives and false positives.

here is a link to a snippet with the data set, it is meant to be a CSV

https://dpaste.org/viRb

and here is a image of what it looks like in excel

B C D E F G H 1 K L M N P Q R S T U V 1 4 3 4 3 4 2 1 2 2. 4 1 3 2 4 4 1 3 4 1 4 3 4 2 2 1 3 3 1 2 4 2 3 2 4 2 3 4 3 3 2 2 3 4 1 2 2 4 4 2 3 4 1 3 3 4 3 1 3 1 4 1 1 3 4 3 2 2 2 2 3 4 3 1 2 1 4 2 3 4 1 2 3 1 3 3 2 2 3 4 2 2 3 3 2 4 3 3 4 2 1 2 4 2 3 1 4 2 2 4 4 1 3 3 3 2 4 4 2 1 4 2 3 3 2 4 3 2 3 3 4 4 2 2 3 1 3 3 3 1 2 1 1 1 2 2 1 2 3 1 4 3 2. 1 2 3 2. 4 4 4 1 1 3 4 1 5 1 2 3 4 2 4 3 2 1 3 4 4 3 4 3 4 2. 3 2. 4 1 1 3 1 2 3 1 1 1 2 4 4 3 4 3 4 3 3 2 1 Run# 2 Target 3 Output 4 Run# 5 Target 6 Output 7 Run# 8 Target 9 Output 10 Run# 11 Target 12 Output 13 Run# 14 Target 15 Output 16 Run# 17 Target 18 Output 19 Run# 20 Target 21 Output 22 Run# 23 Target 24 Output 25 Run# 26 Target 27 Output 28 Run# 29 Target 30 Output 31 6 3 1 4 1 4 2 4 2 3 2 4 2 3 4 3 3 3 4 3 2 3 2 2 1 2 3 1 1 1 2 4 4 3 4 4 4 1 3 3 3 7 2 3 4 4 1 1 3 1 1 2 1 4 3 3 4 1 3 3 2 2 2 2 2 3 1 4 1 4 4 2 4 2 3 2 4 2 3 4 3 3 3 2 8 1 3 3 2 3 3 2 4 2 2 1 3 3 4 2 2 1 2 2 3 4 3 1 2 2 4 3 2 4 1 1 1 2 3 4 3 2 4 4 1 9 4 3 1 3 4 2 1 2 2 2 4 4 1 3 2 1 4 4 4 1 3 3 4 2 3 4 2 4 4 2. 3 2 1 3 4 4 3 2 1 4 3 4 10 4 4 1 3 2 1 3 2 2 1 3 3 1 3 1 2 1 2 4 2 2 4 3 3 4 2 1 3 3 4 2 2 3 2 2 4 3 3 2 1