How to Plot an ROC Curve in Python | Machine Learning in Python

How to Plot an ROC Curve in Python | Machine Learning in Python
In this video, I will show you how to plot the Receiver Operating Characteristic (ROC) curve in Python using the scikit-learn package. I will also you how to calculate the area under an ROC (AUROC) curve. In the tutorial, we will be comparing 2 classifiers via the ROC curve and the AUROC values.

This video is part of the [Python Data Science Project] series.

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**Book chapters I've written**

📚1. Chapter 2 | Elucidating the Structure-Activity Relationship of Curcumin and Its Biological Activities
Curcumin: Synthesis, Emerging Role in Pain Management and Health Implications
Editor: Daniel Loïc Pouliquen | 2014


📚2. Chapter 8 | AutoWeka: Toward an Automated Data Mining Software for QSAR and QSPR Studies
Artificial Neural Networks
Editor: Hugh Cartwright | 2015


📚3. Chapter 1 | Towards the Revival of Interpretable QSAR Models
Advances in QSAR Modeling: Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences
Editor: Kunal Roy | 2017


📚4. Chapter 10 | Proteochemometric Modeling for Drug Repositioning
In Silico Drug Design: Repurposing Techniques and Methodologies
Editor: Kunal Roy | 2019


📚5. Chapter 3 | Best Practices for Constructing Reproducible QSAR Models
Ecotoxicological QSARs
Editor: Kunal Roy | 2020


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