Applied Supervised Learning with R

Chapter 9:

Capstone Project - Based on Research Papers

Learning Objectives

By the end of this chapter, you will be able to:

• Apply end-to-end machine learning workflow on a problem using mlr and OpenML, which involves identifying research articles.
• Train machine learning model and, subsequently, predict and evaluate using the model on a test dataset.
• Perform resampling on the dataset.
• Design experiments for building various models.
• Build benchmarks for choosing the best model.

In this chapter, we will take up the latest research paper based on a real-world problem and will reproduce the result.

Introduction

In this final chapter, we will focus on working on a research-based capstone project. The ideas from all the previous chapters such ...