Data Science Interview Question: Creating ROC & Precision Recall Curves From Scratch

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-interview-question-creating-roc-and-precision-recall-curves-from-scratch. This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #data-science-interview, #precision-and-recall, #precision-recall-curves, #roc-data-science, #data-analysis, #data-science-job-questions, #hackernoon-top-story, and more. This story was written by: @varunnakra1. Learn more about this writer by checking @varunnakra1's about page, and for more stories, please visit hackernoon.com. This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. For the purposes of this story, I will assume that readers are aware of the meaning and the calculations behind these metrics and what they represent and how are they interpreted. We start with importing the necessary libraries (we import math as well because that module is used in calculations)