ta-data-par / lab-ml-evaluation-recall-and-precision

Lab | Evaluation: Recall & Precision

Introduction

In this lab you are going to compare how well some different types of classifiers perform on different evaluation metrics.

Getting Started

Open the main.ipynb file in the your-code directory. Follow the instructions and add your code and explanations as necessary.

Deliverables

• main.ipynb with your responses.

Submission

Upon completion, add your deliverables to git. Then commit git and push your branch to the remote.

Resources

Precision vs Recall

Beyond Accuracy: Precision and Recall